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Небесная энциклопедия

Космические корабли и станции, автоматические КА и методы их проектирования, бортовые комплексы управления, системы и средства жизнеобеспечения, особенности технологии производства ракетно-космических систем

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Мониторинг СМИ

Мониторинг СМИ и социальных сетей. Сканирование интернета, новостных сайтов, специализированных контентных площадок на базе мессенджеров. Гибкие настройки фильтров и первоначальных источников.

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Форма поиска

Поддерживает ввод нескольких поисковых фраз (по одной на строку). При поиске обеспечивает поддержку морфологии русского и английского языка
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Применить Всего найдено 14929. Отображено 100.
05-01-2012 дата публикации

Stent localization in 3d cardiac images

Номер: US20120002855A1
Автор: Ying Bai
Принадлежит: Fujifilm Corp

Systems and methods are described for automatically identifying coronary stents within a 3D cardiac image. Based on feature analysis on a cardiac image, coronary stents can be detected by filtering the cardiac images for stent candidates, applying a score based on factors related to coronary stents and applying a threshold. Once coronary stents are identified, in-stent restenosis and stent fractures can be further detected.

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02-02-2012 дата публикации

Medical image diagnostic apparatus and volume calculating method

Номер: US20120027276A1
Автор: Tomoaki Chono
Принадлежит: Hitachi Medical Corp

A medical image diagnostic apparatus provided with an image acquisition unit configured to acquire in-vivo information about an object to be examined as a medical image, a display unit configured to display the medical image, a setting unit configured to set a target region of volume measurement in the medial image displayed on the display unit, a calculation unit configured to perform calculation to split the target region into a plurality of volume elements, calculate the moving distance of the vertices of the volume elements when the target region of the acquired medical image moves, calculate the volumes of the volume elements after the movement using the calculated moving distance of the vertices, totalizing the calculated volumes of the volume elements after the movement and using the total volume as the volume of the target region, and a control unit configured to display the volume of the target region on the display unit.

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09-02-2012 дата публикации

Fundus observation apparatus

Номер: US20120033181A1
Принадлежит: Topcon Corp

The fundus observation apparatus 1 has a function to form tomographic images and 3-dimensional images of a fundus Ef by scanning signal light LS as well as a function to form a moving image (observation image K) of a fundus Ef during OCT measurement. Furthermore, the fundus observation apparatus 1 includes an x-correction part 231 and a y-correction part 232 for correcting a position in the fundus surface direction of the 3-dimensional image based on the observation image K, and a z-correction part 233 for correcting the position in the fundus depth direction of a 3-dimensional image, based on a tomographic image Gi of the fundus Ef based on the detection results of interference light LC of separately scanned signal light LS and reference light LR.

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09-02-2012 дата публикации

Learning apparatus, identifying apparatus and method therefor

Номер: US20120036094A1
Принадлежит: Toshiba Corp

A learning apparatus acquires a plurality of training samples containing a plurality of attributes and known classes, gives the plurality of training samples to a route node of a decision tree to be learned as an identifier, generates a plurality of child nodes from a parent node of the decision tree, allocates the training samples whose attribute corresponding to a branch condition for classification is not a deficit values at the parent node of the decision tree out of the plurality of training samples, to any of the plurality of child nodes according to the branch condition, gives the training samples whose attribute is the deficit value, to any one of the plurality of child nodes, and executes the generation of the child nodes and the allocating of the training samples until a termination condition is satisfied.

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01-03-2012 дата публикации

Image processing apparatus, image processing method, image processing system, and computer readable memory

Номер: US20120050308A1
Принадлежит: Canon Inc

An image processing apparatus includes an extraction unit configured to extract a structure of a tested eye from an OCT image obtained by optical coherence tomography, an extraction unit configured to extract a structure of the tested eye from an eyeground image obtained by a scanning laser ophthalmoscope or a fundus camera, a calculation unit configured to calculate a reliability degree of the extraction for each of the extracted structures, and a display control unit configured to display the extracted structures superimposed on a image of eyeground according to the calculated reliability.

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01-03-2012 дата публикации

Enhanced ultrasound image display

Номер: US20120053452A1
Автор: Roy Tal
Принадлежит: Biosense Webster Inc

Using specialized cardiac catheters for image acquisition, features of the heart are readily identifiable on an ultrasound image, based on a previously generated electrical activation map of the heart. The electrical activation map is automatically registered with the ultrasound image using information obtained from position sensors in the catheters. Features identifiable on the electrical activation map, presented as points, tags, design lines, and textual identification, are projected into the plane of the ultrasound fan and overlaid on the ultrasound image, thereby clarifying the features that are visible on the latter.

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01-03-2012 дата публикации

Method and System For Patient-Specific Modeling of Blood Flow

Номер: US20120053921A1
Автор: Charles A. Taylor
Принадлежит: HeartFlow Inc

Embodiments include a system for planning treatment for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of an anatomical structure of the patient, create a three-dimensional model representing at least a portion of the anatomical structure of the patient based on the patient-specific data, and determine a first fractional flow reserve within the anatomical structure of the patient based on the three-dimensional model and information regarding a physiological condition of the patient. The at least one computer system may be further configured to receive input from a user regarding a plan of treatment, modify the physiological condition of the patient based on the received input, and determine a second fractional flow reserve within the anatomical structure of the patient based on the modified physiological condition of the patient.

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15-03-2012 дата публикации

Systems and methods for multilayer imaging and retinal injury analysis

Номер: US20120065518A1

Systems and methods are provided for imaging an eye and identifying retinal or subretinal features that may be indicative of pathologies such as macular degeneration and traumatic brain injury. An infrared or near-infrared image of an eye is interdependently smoothed and segmented and attributes of the image are determined. The attributes are indicative of retinal or subretinal features.

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29-03-2012 дата публикации

3-dimensional (3d) ultrasound system using image filtering and method for operating 3d ultrasound system

Номер: US20120078102A1
Автор: Kwang-Hee Lee
Принадлежит: Samsung Medison Co Ltd

Provided are a 3-dimensional (3D) ultrasound system using image filtering and a method for operating the 3D ultrasound system. The 3D ultrasound system using image filtering may include a scanning unit to generate a volume image of an object, a detecting unit to detect a contour line in each of ‘n’ first slice images extracted from the volume image, ‘n’ being a natural number, and a rendering control unit to correct the ‘n’ first slice images into ‘n’ second slice images by removing a non-feature region based on the contour line, and to combine and render the ‘n’ second slice images.

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05-04-2012 дата публикации

Workstations with circuits for generating images of global injury

Номер: US20120082352A1
Принадлежит: Wake Forest University Health Sciences

Physician interactive workstations with global voxel distribution visualization may also include one or more of a 3-D color scale image of a population of voxel in target regions, organs or systems. The workstation may be configured to evaluate intensity or other measures of voxels of patient images associated with tissue for early detection of a global injury.

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24-05-2012 дата публикации

Device and method for superimposing patterns on images in real time, particularly for guidance by location

Номер: US20120130167A1
Принадлежит: Intuitive Surgical Operations Inc

The invention relates to a device for superimposing known patterns, characteristic of a region, on (real) images of said region. The device comprises, a memory in which patterns are stored, which are representative of a selected region, of known position and orientation with relation to a common reference and processing means, for determining a pattern representative of the selected portion in the memory, on receipt of the designation of at least one portion of an observed image of the selected region, taken at a selected angle and at least one representative attribute of said region, taking account of the attribute selected, then superimposing the determined pattern on the selected portion of the image taking account of the selected angle.

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31-05-2012 дата публикации

Image processing apparatus and method

Номер: US20120134563A1
Автор: Yuta Nakano
Принадлежит: Canon Inc

An image processing apparatus which processes a plurality of tomograms obtained by acquiring, along a direction crossing at a right angle a section along the thickness direction of a retina, a plurality of tomograms each including the section, detects a layer structure in the retina from image information of respective lines of the tomograms along the thickness direction, and appends structure information to the respective lines based on the layer structures detected for the respective lines. The image processing apparatus maps the structure information of the respective lines of the plurality of tomograms onto a plane crossing the thickness direction at a right angle, thereby generating a two-dimensional image based on the structure information.

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31-05-2012 дата публикации

Method and System for Heart Isolation in Cardiac Computed Tomography Volumes for Patients with Coronary Artery Bypasses

Номер: US20120134564A1
Принадлежит: SIEMENS AG, Siemens Corp

A method and system for isolating the heart in a 3D volume, such as a cardiac CT volume, for patients with coronary artery bypasses is disclosed. An initial heart isolation mask is extracted from a 3D volume, such as a cardiac CT volume. The aortic root and ascending aorta are segmented in the 3D volume, resulting in an aorta mesh. The aorta mesh is expanded to include bypass coronary arteries. An expanded heart isolation mask is generated by combining the initial heart isolation mask with an expanded aorta mask defined by the expanded aorta mesh.

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14-06-2012 дата публикации

Image processing apparatus for processing tomographic image of subject's eye, imaging system, method for processing image, and recording medium

Номер: US20120148130A1
Принадлежит: Canon Inc

An image processing apparatus includes a detection unit configured to detect layers on the retina based on tomographic images of the retina, an acquisition unit configured to acquire a region having a larger curvature of the boundary surface between the retina and the corpus vitreum than a threshold value, and a determination unit configured to determine an optic disc of the retina based on the optical disc including a region where a specific layer is not detected by the detection unit and the region acquired by the acquisition unit.

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21-06-2012 дата публикации

method and system of determining a grade of nuclear cataract

Номер: US20120155726A1

A method for determining a grade of nuclear cataract in a test image. The method includes: (1a) defining a contour of a lens structure in the test image, the defined contour of the lens structure comprising a segment around a boundary of a nucleus of the lens structure; (1b) extracting features from the test image based on the defined contour of the lens structure in the test image; and (1c) determining the grade of nuclear cataract in the test image based on the extracted features and a grading model.

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09-08-2012 дата публикации

Ophthalmic photographing apparatus

Номер: US20120200824A1
Автор: Norimasa Satake
Принадлежит: Nidek Co Ltd

An ophthalmic photographing apparatus includes: an interference optical system having a light source, a splitter for splitting light from the light source into measurement light traveling toward an examinee's eye and reference light, and an optical detector for receiving combined light of the measurement light reflected by the examinee's eye and the reference light; an optical scanner arranged in an optical path of the measurement light to scan a photographing region of the examinee's eye with the measurement light; a controller for obtaining a tomographic image of the photographing region by controlling the optical scanner and processing an output signal from the optical detector; and an image processor for obtaining a combined tomographic image by combining a plurality of tomographic images corresponding to a plurality of different incident angles.

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16-08-2012 дата публикации

Method, A Graphic User Interface, A System and A Computer Program for Optimizing Workflow of a Medical Intervention

Номер: US20120207365A1
Принадлежит: 3Mensio Medical Imaging BV

The invention relates to a method of optimizing workflow for an intervention, comprising the steps of reconstruction of an image of a target area representative of an envisaged intervention based on imaging dataset; automatically selecting an optimal viewing direction for enabling a pre-operative quantitative analysis of intervention features. The invention further relates to a computer program and a system for optimizing a workflow of an intervention.

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13-09-2012 дата публикации

Automatic quantitative vessel analysis

Номер: US20120230565A1
Принадлежит: Sync Rx Ltd

Apparatus and methods are described for use with an image of blood vessels of a subject. In response to a user designating a single point on the image (a) a target portion of a blood vessel is automatically identified in the vicinity of the designated point, and (b) quantitative vessel analysis is performed on the target portion of the blood vessel. An output is generated based upon the quantitative vessel analysis. Other embodiments are also described.

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01-11-2012 дата публикации

Image Analysis System and Related Methods and Computer Program Products

Номер: US20120275677A1
Принадлежит: Bioptigen Inc

Methods are provided including receiving a plurality of images from at least one image acquisition system; selecting at least a portion of a set of images for analysis using at least one attribute of image metadata; selecting at least one method for deriving quantitative information from the at least a portion of the set of images; processing the selected at least a portion of the set of images with the selected at least one method for deriving quantitative information; associating the derived quantitative information with the at least a portion of the set of images via a data structure; selecting at least one method for aggregating at least a portion of a set of derived quantitative information into a reduced set of results; and generating at least one report to represent the reduced set of results for one of an individual image and the set of images as a pool.

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15-11-2012 дата публикации

Image processing apparatus and method

Номер: US20120288175A1
Принадлежит: Canon Inc

In a tomographic image photographing apparatus, a deformation of a volume image is corrected accurately even if an object to be inspected moves when the volume image is acquired. An image processing apparatus acquires a tomographic image of the object to be inspected from combined light beams of return light beams, which is obtained by irradiating the object to be inspected with a plurality of measuring light beams, and corresponding reference light beams. In the image processing apparatus, a photographing unit obtains a tomographic image of a fundus with the plurality of measuring light beams, and a detection unit detects a retina layer from the tomographic image. Based on the detected retina layer, a fundus shape is estimated. Based on the estimated fundus shape, a positional deviation between tomographic images is corrected.

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06-12-2012 дата публикации

Ultrasonic diagnostic device, and method for measuring intima-media thickness

Номер: US20120310086A1
Принадлежит: Panasonic Corp

The present invention provides a method for detecting lumen and adventitia boundaries and measuring an intima-media thickness without depending on the magnitudes of echo intensity variations on the lumen and adventitia sides. The ultrasonic diagnostic apparatus transmits an ultrasonic wave toward a body and obtains biological information based on an echo signal received and includes: an intensity distribution generating section that generates an echo intensity distribution in a depth direction about a vascular wall based on the echo signal; a template generating section that generates a template to detect a boundary based on template data provided in advance to represent a reference pattern of the intensity distribution; a pattern similarity calculating section that changes the depth and intima-media thickness pattern of the template to calculate similarity between the template and the intensity distribution on any change made; and a boundary defining section that defines lumen and adventitia boundaries based on the degree of similarity calculated on any change made.

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27-12-2012 дата публикации

System and method for processing an x-ray image of an organ

Номер: US20120328174A1
Принадлежит: Individual

A system and a method for indicating at least one of the internal structures of an organ on an X-ray image are proposed. The system includes an interface adapted to receive the X-ray image and a non-X-ray image pertaining to the organ. The system also includes a database having a geometric model of the internal structures of the organ, a first module for determining at least a dimension of one of the internal structures of the organ from the non-X-ray image, and a second module for indicating the at least one of the internal structures of the organ in the X-ray image based on the geometric model adjusted by the at least one dimension.

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03-01-2013 дата публикации

Subtraction of projection data in medical diagnostic imaging

Номер: US20130004052A1
Принадлежит: SIEMENS AG, Siemens Corp

Background information is subtracted from projection data in medical diagnostic imaging. The background is removed using data acquired in a single rotational sweep of a C-arm. The removal may be by masking out a target, leaving the background, in the data as constructed into a volume. For subtraction, the masked background information is projected to a plane and subtracted from the data representing the plane.

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14-02-2013 дата публикации

Dynamic radiographing system

Номер: US20130039468A1
Автор: Yoshihiro Takeda
Принадлежит: Konica Minolta Medical and Graphic Inc

A dynamic radiographing system enables determination of an evaluation value of the heart function of a subject by plain radiography. The dynamic radiographing system comprises a radiographing apparatus, an image processing apparatus, and a console for diagnosis. The radiographing apparatus dynamically radiographs the heart of a subject and creates radiographs in plural time phases (Step S 1 ). The image processing apparatus calculates an evaluation value of the heart function by using the radiographs in plural time phases (Step S 4 ). The console for diagnosis displays information on the calculated evaluation value on the display section (Step S 5 ).

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14-03-2013 дата публикации

Method and system for patient-specific modeling of blood flow

Номер: US20130064438A1
Принадлежит: HeartFlow Inc

Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

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14-03-2013 дата публикации

Method and system for patient-specific modeling of blood flow

Номер: US20130066618A1
Принадлежит: HeartFlow Inc

Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

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21-03-2013 дата публикации

Data processing apparatus, data processing method, image processing apparatus and method, and program

Номер: US20130070971A1
Принадлежит: Sony Corp

The present disclosure relates to a data processing apparatus and a data processing method capable of generating evaluation index data for performing accurate and detailed evaluation of cultured cardiomyocytes. A motion detecting unit divides frame image data obtained by photographing the cultured cardiomyocytes for a predetermined time into blocks and obtains motion detection data in units of blocks per each frame period. A feature amount calculating unit calculates a feature amount for each block at the same position in a frame image using the motion detection data. A classification processing unit classifies each of the blocks into any one of a plurality of classification categories using the calculated feature amount. On the basis of the classification result, evaluation index data made of individual classification result data that represent correspondences between the blocks and the classification categories is generated.

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21-03-2013 дата публикации

2d/3d image registration method

Номер: US20130070995A1
Принадлежит: Siemens Corp

A method ( 100 ) that registers a 3D heart volume ( 112, 114 ) obtained from either a pre-operative MR image or CT image ( 102 ) to an intra-operative fluoroscopic image using a mesh of the heart structure ( 106 ) as the basis for the registration.

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18-04-2013 дата публикации

Non-linear projections of 3-d medical imaging data

Номер: US20130094720A1
Автор: Paul F. Stetson
Принадлежит: Carl Zeiss Meditec Inc

The present invention improves projection displays of volume data. Using the Minimum Intensity Projection (MinIP), fluid filled regions or other regions of hyporeflective tissue are displayed. By limiting the projection to partial volumes within the volume, differences in the scattering intensity within specific regions are isolated. In this way, hyperreflectivity of weakly scattering tissue can be assessed.

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13-06-2013 дата публикации

Iris deblurring method based on global and local iris image statistics

Номер: US20130147977A1
Принадлежит: ROBERT BOSCH GMBH

A method of identifying a living being includes using a camera to capture a blurred visual image of an iris of the living being. The blurred visual image is digitally unblurred based on a distribution of eye image gradients in an empirically-collected sample of eye images and characteristics of pupil region. The unblurred image is processed to determine an identity of the living being.

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27-06-2013 дата публикации

Imaging and evaluating embryos, oocytes, and stem cells

Номер: US20130162795A1
Принадлежит: Leland Stanford Junior University

Methods, compositions and kits for determining the developmental potential of one or more embryos or pluripotent cells and/or the presence of chromosomal abnormalities in one or more embryos or pluripotent cells are provided. These methods, compositions and kits find use in identifying embryos and oocytes in vitro that are most useful in treating infertility in humans.

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01-08-2013 дата публикации

Optical coherence tomographic apparatus, control method for optical coherence tomographic apparatus and storage medium

Номер: US20130195336A1
Автор: Hiroki Uchida
Принадлежит: Canon Inc

An optical coherence tomographic apparatus includes a unit configured to perform tracking of an eye to be examined based on a plurality of images of the eye which are obtained at different times, and a control unit configured to control the unit which performs the tracking in a case where a plurality of tomographic images of the eye are obtained.

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29-08-2013 дата публикации

Calculating Conjunctival Redness

Номер: US20130226008A1
Принадлежит: MASSACHUSETTS EYE AND EAR INFIRMARY

The present application includes methods, systems and computer readable storage devices for determining a color score for at least a portion of a biological tissue. The subject matter of the application is embodied in a method that includes obtaining a digital image of the biological tissue, and receiving a selection of a portion of the image as an evaluation area. The method also includes determining for each of a plurality of pixels within the evaluation area, a plurality of color components that are based on a Cartesian color space, and determining, from the color components, a hue value in a polar coordinate based color space. The method further includes determining a color value based on the hue value for each of the plurality of pixels, and assigning a color score to the evaluation area based on an average of the color values of the plurality of pixels.

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26-09-2013 дата публикации

Corneal graft evaluation based on optical coherence tomography image

Номер: US20130251230A1

An OCT image of an eye which has been subject to a DSAEK corneal transplant, in which a Descement's membrane in the cornea has been replaced by a graft, is processed to identify the outline of the graft. The process includes the steps of: computationally extracting the boundary of the cornea including the graft; computationally detecting the corners of the graft; computationally extracting points on the boundary between the graft and the original cornea; and computationally fitting the points on the boundary between the graft and the original cornea smoothly into a curve. The outline of the graft is then displayed. A graft profile may be generated, indicating the thickness of the graft at each point along its length.

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17-10-2013 дата публикации

Method and Systems for Measuring Interpupillary Distance

Номер: US20130271726A1
Принадлежит: Cyber Imaging Systems Inc

The proposed innovation provides methods and systems for measuring the interpupillary distance. The proposed innovation provides a fitting pad ( 102 ) having two detection points ( 104 and 106 ). The fitting pad is placed on the forehead of the user and an image is captured. The image is uploaded and pupil distance calculator software locates the fitting detection points and calculates the distance in pixels of the left and right X, Y coordinates. The software creates an image scale by dividing the pixel counts between the detection points. The software automatically locates the X, Y coordinates between the center of the left and right pupils and calculates the distance in pixels. The resulting pixel distance divided by the image scale provides the interpupillary distance in millimeter. In embodiments, segment height is calculated based upon an image imported by the user and the combined scaled images of the user and the frame.

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12-12-2013 дата публикации

Automatic reduction of interfering elements from an image stream of a moving organ

Номер: US20130329977A1
Принадлежит: Sync Rx Ltd

Apparatus and methods are described for imaging a portion of a body of a subject that undergoes a motion cycle. A plurality of image frames of the portion are acquired. The image frames are enhanced with respect to a first given feature of the image frames, by (a) image tracking the image frames with respect to the first given feature, (b) identifying a second given feature in each of the image frames, and (c) in response to the identifying, reducing visibility of the second given feature in the image frames. The image frames that (a) have been image tracked with respect to the first given feature, and (b) have had reduced therein the visibility of the second given feature, are displayed as a stream of image frames. Other embodiments are also described.

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19-12-2013 дата публикации

Method and apparatus for multi-level eye registration

Номер: US20130336559A1
Принадлежит: ALCON PHARMACEUTICALS LTD

A method for performing multi-level eye registration comprising: obtaining a first initial reference eye image by a first diagnostic device and defining a reference coordinate system; obtaining a second eye image by a surgery device, said second eye image being obtained in a pre-surgery phase before the surgery has started; performing a first registration between said first eye image and said second eye image to obtain a first registration result; obtaining a third eye image by said surgery device, said third eye image being obtained after surgery has started; performing a second registration between said second eye image and said third eye image to obtain a second registration result; combining said first and second registration results to obtain a combined registration result to thereby obtain a registration between said initial reference eye image obtained by said diagnostic device and said third eye image obtained by said surgery device after surgery has started.

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16-01-2014 дата публикации

Method for correcting user's gaze direction in image, machine-readable storage medium and communication terminal

Номер: US20140016871A1

A method and mobile terminal for correcting a gaze of a user in an image includes setting eye outer points that define an eye region of the user in an original image, transforming the set eye outer points to a predetermined reference camera gaze direction, and transforming the eye region of the original image based on the transformed eye outer points.

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06-03-2014 дата публикации

Image processing apparatus, image processing method, and program

Номер: US20140063451A1
Принадлежит: Canon Inc

For appropriately obtaining the tomographic image and the layer thickness map are provided in a short period of time regardless of involuntary eye movement, when the tomographic image is to be obtained in a specific scan pattern, a 3D tomographic image is first obtained by 3D scan, and then a tomographic image of a desired part is extracted from the image in accordance with the specific scan pattern. Further, based on the obtained 3D tomographic image, a sector for layer thickness map display, a main scanning line, and a sub-scanning line, which are displayed on a fundus image, are set movable, and tomographic images taken along both the scanning lines after the movement are obtained. The sector having a center corresponding to the intersection between those scanning lines and the layer thickness map are recalculated and displayed so as to follow the intersection.

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13-03-2014 дата публикации

Quantification of local circulation with oct angiography

Номер: US20140073917A1
Принадлежит: Oregon Health Science University

Impaired intraocular blood flow within vascular beds in the human eye is associated with certain ocular diseases including, for example, glaucoma, diabetic retinopathy and age-related macular degeneration. A reliable method to quantify blood flow in the various intraocular vascular beds could provide insight into the vascular component of ocular disease pathophysiology. Using ultrahigh-speed optical coherence tomography (OCT), a new 3D angiography algorithm called split-spectrum amplitude-decorrelation angiography (SSADA) was developed for imaging microcirculation within different intraocular regions. A method to quantify SSADA results was developed and used to detect perfusion changes in early stage ocular disease. Associated embodiments relating to methods for quantitatively measuring blood flow at various intraocular vasculature sites, systems for practicing such methods, and use of such methods and systems for diagnosing certain ocular diseases are herein described.

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27-03-2014 дата публикации

Ophthalmic diagnosis support apparatus and ophthalmic diagnosis support method

Номер: US20140085606A1
Принадлежит: Canon Inc

Provided is an ophthalmic diagnosis support apparatus which enables an operator to easily acquire a tomographic image suitable for detailed observation of a candidate lesion without spending time and effort to search for the candidate lesion. The ophthalmic diagnosis support apparatus includes an acquiring unit for acquiring a wide-range image of a fundus, a candidate lesion detection unit for detecting the candidate lesion on the fundus by analyzing the wide-range image, a calculating unit for determining a degree of abnormality of the candidate lesion based on a result of the detection of the candidate lesion, and an acquiring position setting unit for setting an acquiring position of the tomographic image of the fundus based on the degree of abnormality of the candidate lesion.

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03-01-2019 дата публикации

SYSTEMS, METHODS, AND DEVICES FOR OPTICAL COHERENCE TOMOGRAPHY MULTIPLE ENFACE ANGIOGRAPHY AVERAGING

Номер: US20190000313A1
Принадлежит:

The disclosure herein provides methods, systems, and devices for improving optical coherence tomography machine outputs through multiple enface optical coherence tomography angiography averaging techniques. The embodiments disclosed herein can be utilized in ophthalmology for employing optical coherence tomography (OCT) for in vivo visualization of blood vessels and the flow of blood in an eye of a patient, which is also known generally as optical coherence tomography angiography (OCTA). The embodiments disclosed herein can use linear registration, affine registration and/or elastic registration to align a plurality of optical coherence tomography angiography images or videos at corresponding superficial vascular layers having well-defined features or landmarks, and to apply the same linear registration, affine registration and/or elastic registration settings and/or data to corresponding deeper tissue layers, such as the choriocapillaris, which generally do not have well-defined features or landmarks, in order to align a plurality of corresponding deeper tissue layers for the purpose of averaging the images or video to produce a clearer and more accurate image or video of the tissue structure at deeper tissue layers. 1. (canceled)2. A system for obtaining and processing images of a biological material , the system comprising:one or more computer readable storage devices configured to store a plurality of computer executable instructions; and access or obtain a plurality of OCT images generated from an OCT scanner;', 'generate, from the plurality of OCT images, a plurality of enface images of one or more superficial layers of the biological material and a plurality of enface images of one or more deep layers;', 'divide each of the plurality of enface images of the one or more superficial layers and each of the plurality of enface images of the one or more deep layers into a plurality of sectors;', 'apply one or more image registration techniques to each of the ...

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02-01-2020 дата публикации

AUTOMATICALLY DETECTING EYE TYPE IN RETINAL FUNDUS IMAGES

Номер: US20200000331A1
Принадлежит:

A computer-implemented method includes obtaining an image of a retinal fundus. A plurality of features is extracted from the image of the retinal fundus. The plurality of features includes at least one feature based on anatomical domain knowledge of the retinal fundus and at least one response of a pre-trained deep convolutional neural network to at least a portion of the image of the retinal fundus. The retinal fundus is determined to belong to a left eye or a right eye, based on an analysis of the plurality of features. 1. A computer-implemented method , comprising:cropping a region of interest from an image of a retinal fundus;passing the region of interest through a stack of N learned convolutional layers of a pre-trained deep convolutional neural network;discarding a response of an Nth layer of the N learned convolutional layers to the region of interest;applying principal component analysis on responses of an (N-1)th layer of the N learned convolutional layers to the region of interest to generate a set of principal components;extracting an unsupervised feature of the retinal fundus from the set of principal components; anddetermining whether the retinal fundus belongs to a left eye or a right eye, based on an analysis of a combination of the unsupervised feature and a supervised feature of the retinal fundus.2. The computer-implemented method of claim 1 , wherein the region of interest is centered on an optic disc depicted in the image of the retinal fundus.3. The computer-implemented method of claim 2 , wherein the Nth layer is trained for one thousand classes of a training dataset claim 2 , and the (N-1)th layer generates more than four thousand responses as potential unsupervised features.4. The computer-implemented method of claim 1 , wherein the determining is performed using a support vector machine that has been trained using a plurality of features including the unsupervised feature and a supervised feature of the retinal fundus.5. The computer- ...

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02-01-2020 дата публикации

OPHTHALMIC DIAGNOSIS SUPPORT APPARATUS AND OPHTHALMIC DIAGNOSIS SUPPORT METHOD

Номер: US20200000333A1
Принадлежит:

Provided is an ophthalmic diagnosis support apparatus which enables an operator to easily acquire a tomographic image suitable for detailed observation of a candidate lesion without spending time and effort to search for the candidate lesion. The ophthalmic diagnosis support apparatus includes an acquiring unit for acquiring a wide-range image of a fundus, a candidate lesion detection unit for detecting the candidate lesion on the fundus by analyzing the wide-range image, a calculating unit for determining a degree of abnormality of the candidate lesion based on a result of the detection of the candidate lesion, and an acquiring position setting unit for setting an acquiring position of the tomographic image of the fundus based on the degree of abnormality of the candidate lesion. 116-. (canceled)17. An ophthalmic apparatus comprising:an acquiring unit configured to acquire a volume image of a fundus;a candidate detecting unit configured to detect a candidate lesion in a retina by analyzing the volume image;a calculating unit configured to calculate a degree of abnormality of the candidate lesion based on a detection result for the candidate lesion;a first determining unit configured to determine coordinates of a first point corresponding to the detected candidate lesion in accordance with the calculated degree of abnormality;a characteristic region detecting unit configured to detect a characteristic region in the fundus by analyzing the volume image, the characteristic region including a macula lutea;a second determining unit configured to determine coordinates of a second point corresponding to the characteristic region detected by the characteristic region detecting unit anda setting unit configured to set a straight line corresponding to an imaging position to be used for acquiring a tomographic image based on the coordinates of the first point corresponding to the candidate lesion and the coordinates of the second point corresponding to the characteristic ...

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07-01-2016 дата публикации

IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND PROGRAM

Номер: US20160000321A1
Принадлежит:

An image processing apparatus includes a calculation unit configured to calculate information indicating similarity among a plurality of tomographic images, and a generation unit configured to generate a tomographic image from the plurality of tomographic images based on the calculated information indicating similarity. 1calculation means configured to calculate information indicating similarity among a plurality of tomographic images; andgeneration means configured to generate a tomographic image from the plurality of tomographic images based on the calculated information indicating similarity.. An image processing apparatus comprising: This application is a Continuation of co-pending U.S. patent application Ser. No. 14/580,652 filed Dec. 23, 2014, which is a Continuation of U.S. application Ser. No. 13/702,705 (now U.S. Pat. No. 8,983,164), filed Dec. 7, 2012, which is a U.S. national stage application of International Patent Application No. PCT/JP2011/002995, filed May 30, 2011, which claims the priority benefit of Japanese Patent Application No. 2010-131257, filed Jun. 8, 2010. All of the above-named applications are hereby incorporated by reference herein in their entirety.The present invention relates to a technique for the enhancement of image quality of a tomographic image in an eye portion.A tomographic imaging apparatus for the eye portion such as an optical coherence tomography (hereinafter referred to as OCT) is usable to three-dimensionally observe a state inside a retinal layer. In recent years, the tomographic imaging apparatus has attracted attention because it is useful in accurately diagnosing disease.In an ophthalmologic diagnosis, there can be used a volume image for grasping the state of the entire retinal layer and a high image-quality two-dimensional tomographic image for grasping a layer which is not imaged on a low image-quality tomographic image. The volume image refers to aggregation of the two-dimensional tomographic images.The image ...

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07-01-2021 дата публикации

Pupillometry Systems, Methods, and Devices

Номер: US20210000339A1
Автор: Neice Andrew Elliott
Принадлежит:

Pupillometry systems for measuring pupillary characteristics of a patient are shown and described. The puillometry systems include at least one camera, and a computer system in data communication with the at least one camera, the computer system having a processor and a non-transitory computer-readable storage medium. The non-transitory computer-readable storage medium includes computer-readable instructions for collecting and time stamping the image data, processing the raw image data in such a way as to bring the images into conformance with standardized image parameters, identifying and measuring the one or more pupils in the image data, processing the image data to produce measurement data of change in the one or more pupillary characteristics, calculating a standardized output of measurement data for the one or more pupillary characteristics, and providing a mechanism to share or store this information with other users via a computer network. 2. The pupillometry system of claim 1 , wherein the adjustment of the image properties and/or adjustment of the criteria used to identify the pupil is based on measurements of the existing ambient illumination.4. The pupillometry system of claim 1 , further comprising a system in which the non-transitory computer-readable storage medium has instructions for adjusting the level of illumination from the radiation source.5. The pupillometry system of claim 4 , wherein the level of illumination is adjusted based on measurements of the existing ambient illumination.7. The pupillometry system of claim 1 , wherein the computer readable storage medium contains instructions for adjusting the criteria for identifying and measuring one or more pupils based on measured image properties that include one or more of the following in one or more color channels: image brightness claim 1 , image contrast claim 1 , minimum pixel values claim 1 , distribution of pixel values claim 1 , maximum pixel values claim 1 , either in the image as a ...

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04-01-2018 дата публикации

IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND PROGRAM THEREFOR

Номер: US20180000338A1
Автор: Imamura Hiroshi
Принадлежит:

Provided is an image processing apparatus configured to process an image of a fundus of an eye to accurately measure thicknesses of membranes that form a blood vessel wall of an eye. The image processing apparatus includes: an image acquiring unit configured to acquire an image of an eye; a vessel feature acquiring unit configured to acquire membrane candidate points that form an arbitrary wall of a blood vessel based on the acquired image; a cell identifying unit configured to identify a cell that forms the wall of the blood vessel based on the membrane candidate points; and a measuring position acquiring unit configured to identify a measuring position regarding the wall of the blood vessel based on a position of the identified cell. 1. An image processing apparatus , comprising:an image acquiring unit configured to acquire an image of an eye;a vessel feature acquiring unit configured to acquire membrane candidate points that form a wall of a blood vessel based on the acquired image;a cell identifying unit configured to identify a cell that forms the wall of the blood vessel based on the membrane candidate points; anda measuring position acquiring unit configured to identify a measuring position regarding the wall of the blood vessel based on a position of the identified cell.2. An image processing apparatus according to claim 1 , wherein the measuring position acquiring unit is further configured to identify the measuring position based on a distance from a predetermined position within the cell identified in at least one membrane.3. An image processing apparatus according to claim 1 , further comprising a measuring unit configured to calculate at least one of a membrane thickness claim 1 , a compound membrane thickness claim 1 , and a wall thickness of the blood vessel in the identified measuring position as a measurement value regarding the wall of the blood vessel.4. An image processing apparatus according to claim 3 , wherein the measuring unit is further ...

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04-01-2018 дата публикации

DIAGNOSTIC CLASSIFICATION OF CORNEAL SHAPE ABNORMALITIES

Номер: US20180000342A1
Принадлежит:

Disclosed are systems and methods for characterizing corneal shape abnormalities. These methods may be used to differentiate corneas having subclinical keratoconus from other conditions which cause distortion of corneal shape, including warpage of the cornea due to contact lens wear. Also disclosed is classification scheme to aid diagnosis of corneal conditions and thereby guide clinical decision making regarding patient treatment. This classification scheme is based on computed properties of corneal shape, is amenable to automation, and may be implemented in an integrated system or provided in the form of software encoded on a computer-readable medium. 1. A computer-based method of classifying corneal shape abnormalities , said method comprising:generating a corneal topography map of a subject's cornea;generating an epithelial thickness map of the subject's cornea;calculating an epithelial thickness pattern standard deviation (PSD) value based on the epithelial thickness map;calculating a warpage index based on the corneal topography map and the epithelial thickness map; andclassifying the subject's cornea using the epithelial PSD value and the warpage index.2. The method of claim 1 , wherein the corneal topography map is a mean curvature map of an anterior surface of the cornea.3. The method of claim 1 , wherein the epithelial thickness map is generated using optical coherence tomography.4. The method of claim 1 , further comprising:generating a pachymetry map of the subject's cornea; andcalculating an ectasia index based on the corneal topography map and the pachymetry map;wherein the classifying the subject's cornea comprises classifying the subject's cornea using the epithelial PSD value, the warpage index, and the ectasia index.5. The method of claim 4 , wherein the pachymetry map is generated using optical coherence tomography.6. The method of claim 4 , wherein the corneal topography map claim 4 , epithelial thickness map and pachymetry map are pattern ...

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05-01-2017 дата публикации

Augmented and virtual reality display systems and methods for determining optical prescriptions

Номер: US20170000329A1
Принадлежит: Magic Leap Inc

Configurations are disclosed for a health system to be used in various healthcare applications, e.g., for patient diagnostics, monitoring, and/or therapy. The health system may comprise a light generation module to transmit light or an image to a user, one or more sensors to detect a physiological parameter of the user's body, including their eyes, and processing circuitry to analyze an input received in response to the presented images to determine one or more health conditions or defects.

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05-01-2017 дата публикации

Methods and systems for diagnosing binocular vision conditions

Номер: US20170000331A1
Принадлежит: Magic Leap Inc

Configurations are disclosed for a health system to be used in various healthcare applications, e.g., for patient diagnostics, monitoring, and/or therapy. The health system may comprise a light generation module to transmit light or an image to a user, one or more sensors to detect a physiological parameter of the user's body, including their eyes, and processing circuitry to analyze an input received in response to the presented images to determine one or more health conditions or defects.

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05-01-2017 дата публикации

Methods and systems for diagnosing eyes using aberrometer

Номер: US20170000337A1
Принадлежит: Magic Leap Inc

Configurations are disclosed for a health system to be used in various healthcare applications, e.g., for patient diagnostics, monitoring, and/or therapy. The health system may comprise a light generation module to transmit light or an image to a user, one or more sensors to detect a physiological parameter of the user's body, including their eyes, and processing circuitry to analyze an input received in response to the presented images to determine one or more health conditions or defects.

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05-01-2017 дата публикации

METHODS AND SYSTEMS FOR PERFORMING SLIT LAMP EXAMINATION

Номер: US20170000340A1
Принадлежит:

Configurations are disclosed for a health system to be used in various healthcare applications, e.g., for patient diagnostics, monitoring, and/or therapy. The health system may comprise a light generation module to transmit light or an image to a user, one or more sensors to detect a physiological parameter of the user's body, including their eyes, and processing circuitry to analyze an input received in response to the presented images to determine one or more health conditions or defects. 1. (canceled)2. A wearable augmented reality device comprising:an augmented reality head-mounted ophthalmic system comprising an augmented reality display platform configured to pass light from the world into an eye of a wearer wearing the head-mounted ophthalmic system;an optical source configured to project an illumination beam of light into the eye of the wearer to illuminate an anterior or posterior portion of the eye, a cross-sectional beam shape of the illumination beam configured such that a dimension of the cross-sectional beam shape along a superior-inferior direction of the eye is greater than a dimension of the cross-sectional beam shape along a nasal-temporal direction of the eye; andan imaging system configured to capture an image of the illuminated portion of the wearer's eye to perform a slit lamp examination to determine health of the eye.3. The device of claim 2 , wherein the optical source is configured to project the illumination beam onto a location on a surface of the eye at an angle with respect to a normal to the surface at the location claim 2 , wherein the angle is between about ±10-degrees and about ±90-degrees.4. The device of claim 3 , wherein the illumination beam is incident the location along an axis intersecting the eye and passing through the pupil.5. The device of claim 2 , wherein the illumination beam has a width along a temporal-nasal axis of the wearer's eye claim 2 , wherein the width is between about 25 microns and about 1.0 mm.6. The ...

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05-01-2017 дата публикации

METHODS AND SYSTEMS FOR DETECTING HEALTH CONDITIONS BY IMAGING PORTIONS OF THE EYE, INCLUDING THE FUNDUS

Номер: US20170000342A1
Принадлежит:

Configurations are disclosed for a health system to be used in various healthcare applications, e.g., for patient diagnostics, monitoring, and/or therapy. The health system may comprise a light generation module to transmit light or an image to a user, one or more sensors to detect a physiological parameter of the user's body, including their eyes, and processing circuitry to analyze an input received in response to the presented images to determine one or more health conditions or defects. 1. (canceled)2. A wearable augmented reality device comprising:an augmented reality head-mounted ophthalmic system comprising an augmented reality display platform configured to pass light from the world into an eye of a wearer wearing the head-mounted ophthalmic system;a light source configured to illuminate a portion of the wearer's eye; andan imaging system configured to capture an image of the illuminated portion of the wearer's eye,wherein the augmented reality head-mounted ophthalmic system is configured to monitor health of the wearer's eye and detect abnormalities of the eye based on the image.3. The device of claim 2 , wherein the light source is a variable focus light source configured to project a beam of light into the wearer's eyes and to focus the beam of light at varying depths in the wearer's eye.4. The device of claim 2 , wherein the display platform comprises a fiber scanning display claim 2 , wherein fiber scanning display is the light source claim 2 , wherein fiber scanning display is configured to project a beam of light of a particular focus to the portion of the wearer's eye.5. The device of claim 4 , wherein the fiber scanning display comprises damaging system claim 4 , wherein the fiber scanning display is configured to project the beam of light and to capture the image of the illuminated portion of the wearer's eye.6. The device of claim 5 , wherein the imaging system is an eye tracking camera.7. The device of claim 2 , further comprising an electronic ...

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07-01-2021 дата публикации

AUTOMATED CARDIAC FUNCTION ASSESSMENT BY ECHOCARDIOGRAPHY

Номер: US20210000449A1

A computer vision pipeline is provided for fully automated interpretation of cardiac function, using a combination of machine learning strategies to enable building a scalable analysis pipeline for echocardiogram interpretation. Videos from patients with heart failure can be analyzed and processed as follows: 1) preprocessing of echo studies; 2) convolutional neural networks (CNN) processing for view identification; 3) segmentation of chambers and delineation of cardiac boundaries using CNNs; 4); particle tracking to compute longitudinal strain; and 5) targeted disease detection. 1. A method of analyzing images obtained from an echocardiogram , the method comprising performing by a computer system:receiving a plurality of images corresponding to a particular view of a heart, each of the images including a set of pixel values;feeding the sets of pixel values into a first convolutional neural network trained using sample echocardiograms with at least two different structures identified;for each pixel of each image of the plurality of images, assigning a probability of the pixel being part of one of a plurality of structures using the first convolutional neural network, wherein at least one of the structures is part of the heart imaged in the echocardiogram;identifying pixels in each of the images that correspond to a first structure of the heart based on a comparison of the probabilities to a threshold; andproviding an indication of the first structure in the plurality of images.2. The method of claim 1 , wherein the indication of the first structure is provided to a display.3. The method of claim 1 , further comprising:determining a structural property of the first structure based on the identified pixels corresponding to the first structure in each of the plurality of images.4. The method of claim 3 , wherein the structural property is volume or mass.5. The method of claim 1 , further comprising:determining a functional property of the first structure based on the ...

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07-01-2021 дата публикации

SYSTEMS AND METHODS FOR INTRAOCULAR LENS SELECTION

Номер: US20210000542A1
Автор: Bor Zsolt, Hegedus Imre
Принадлежит:

Systems and methods for intraocular lens selection include receiving, by one or more computing devices implementing a prediction engine, pre-operative multi-dimensional images of an eye; extracting, by the prediction engine, pre-operative measurements of the eye based on the pre-operative images; estimating, by the prediction engine using a prediction model based on a machine learning strategy, a post-operative position of an intraocular lens based on the extracted pre-operative measurements; selecting a power of the intraocular lens based on the estimated post-operative position of the intraocular lens; and selecting the intraocular lens based on the selected power. In some embodiments, the systems and methods further include receiving post-operative multi-dimensional images of the eye after implantation of the selected intraocular lens, extracting post-operative measurements of the eye, and updating the prediction model based on the pre-operative measurements and the post-operative measurements. 1. A method comprising:receiving, by one or more computing devices implementing a prediction engine, one or more pre-operative multi-dimensional images of an eye;extracting, by the prediction engine, one or more pre-operative measurements of the eye based on the one or more pre-operative images of the eye, wherein the one or more pre-operative measurements of the eye at least include an estimated position of the lens equator determined as an equator line between each of two intersection points of an anterior lens radius and a posterior lens radius;estimating, by the prediction engine using a first prediction model based on a machine learning strategy, a post-operative position of an intraocular lens based on the one or more extracted pre-operative measurements of the eye;selecting a power of the intraocular lens based on at least the estimated post-operative position of the intraocular lens; andselecting the intraocular lens based on at least the selected power.2. The ...

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05-01-2017 дата публикации

Device and method for spatiotemporal reconstruction of a moving vascular pulse wave in the brain and other organs

Номер: US20170000441A1
Автор: William E. Butler
Принадлежит: Individual

The brain appears to have organized cardiac frequency angiographic phenomena with such coherence as to qualify as vascular pulse waves. Separate arterial and venous vascular pulse waves may be resolved. This disclosure states the method of extracting a spatiotemporal reconstruction of the cardiac frequency phenomena present in an angiogram obtained at faster than cardiac frequency. A wavelet transform is applied to each of the pixel-wise time signals of the angiogram. If there is motion alias then instead a high frequency resolution wavelet transform of the overall angiographic time intensity curve is cross-correlated to high temporal resolution wavelet transforms of the pixel-wise time signals. The result is filtered for cardiac wavelet scale then pixel-wise inverse wavelet transformed. This gives a complex-valued spatiotemporal grid of cardiac frequency angiographic phenomena. It may be rendered with a brightness-hue color model or subjected to further analysis.

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05-01-2017 дата публикации

Spectral Doppler Imaging with Interruption Avoidance

Номер: US20170000461A1
Принадлежит:

In spectral Doppler imaging, a high PRF is used independent of the velocity scale. The adjustment is then of the velocity scale. By optimizing the velocity scale independent of the high PRF in an on-going or automated basis, user activation may be avoided and/or interruption to reconfigure for an altered PRF may be avoided. The acquired data may be stored, allowing for past data to be processed again when a new velocity scale or other setting is selected. The resulting spectral Doppler image may continue to display spectra over time without a gap or without premature loss of spectra due to reconfiguring. 1. A method for spectral Doppler imaging , the method comprising:transmitting, from a transducer, ultrasound energy to a Doppler gate location at a set or higher pulse repetition frequency allowable by roundtrip travel of the ultrasound energy between the transducer and the Doppler gate location;storing responses to the transmitting over time;calculating a first velocity scale from at least one of the responses to the transmitting, the first velocity scale less than or equal to the pulse repetition frequency;estimating from the responses, first spectra over time for the Doppler gate location, the estimating using the first velocity scale;displaying a first image of the first spectra with the first velocity scale, the first image representing a first range of times;later calculating a second velocity scale from at least another one of the responses to the transmitting, the second velocity scale different from the first velocity scale;estimating from the responses, second spectra over time for the Doppler gate location, the estimating of the second spectra using the second velocity scale; anddisplaying second image of the second spectra with the second velocity scale, the second spectra including spectra from times within the first range of times also represented in the first image.2. The method of wherein transmitting at the set or higher pulse repetition frequency ...

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03-01-2019 дата публикации

METHOD AND SYSTEM FOR IMAGE PROCESSING TO DETERMINE BLOOD FLOW

Номер: US20190000554A1
Автор: Taylor Charles A.
Принадлежит:

Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model. 1184-. (canceled)185. A method for processing images to determine cardiovascular information , comprising the steps of:receiving image data including a plurality of coronary arteries originating from an aorta;processing the image data to generate three-dimensional shape models of the coronary arteries;simulating a blood flow for the generated three-dimensional shape models of the coronary arteries; anddetermining a fractional flow reserve (FFR) of the coronary arteries based on a blood flow simulation result, wherein in the step of simulating the blood flow, a computational fluid dynamics model is applied to the three-dimensional shape models of the coronary arteries, a lumped parameter model is combined with the computational fluid dynamics model, and a simplified coronary artery circulation model including coronary arteries, capillaries of the coronary arteries and coronary veins is used as the lumped parameter model.186. The method of claim 185 , wherein claim 185 , when simulating the blood flow claim 185 , when applying the computational fluid dynamics model to the three-dimensional shape models of the coronary arteries claim 185 , using an aorta blood pressure pattern as an inlet boundary condition.187. The method of claim 185 , wherein simulating the blood flow comprises determining lengths of centerlines of the three- ...

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03-01-2019 дата публикации

SYSTEM AND METHOD FOR DETERMINING THE POSITION AND ORIENTATION OF A TOOL TIP RELATIVE TO EYE TISSUE OF INTEREST

Номер: US20190000563A1
Принадлежит:

System and method for determining the position and orientation (P&O) of a tool-tip relative to an eye tissue of interest. The system includes and imaging and tracking module coupled with a processor. The imaging and tracking module at least includes an imager. The imager acquires at least one image of at least one tissue-reference-marker. The imaging and tracking module further determines information relating to the P&O of the tool. The processor determines the P&O of the tissue-reference-marker according to the acquired image of the tissue-reference-marker. The processor determines the P&O of the eye tissue of interest, according to the P&O of the tissue-reference-marker, and a predetermined relative P&O between the tissue-reference-marker and the eye tissue of interest. The processor also determines the P&O of a tool-tip according to a tool-marker and determines the relative P&O between the tool-tip and the eye tissue of interest. 1. A system for determining the position and orientation of a tool tip relative to an eye tissue of interest , the system comprising:an imaging and tracking module, said imaging and tracking module at least including an imager, said imager acquiring at least one image of at least one tissue reference marker, said at least one tissue reference marker being different from said eye tissue of interest, said imaging and tracking module further determining information relating to the position and orientation of said tool; anda processor coupled with said imaging and tracking module, said processor determining, continuously and in real-time, the position and orientation of said tissue reference marker according to the acquired at least one image of said tissue reference marker,said processor determining the position and orientation of said eye tissue of interest, continuously and in real-time, according to said position and orientation of said tissue reference marker, and a predetermined relative position and orientation between said tissue ...

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01-01-2015 дата публикации

IMAGE PROCESSING APPARATUS AND STORAGE MEDIUM

Номер: US20150002812A1
Принадлежит:

An image processing apparatus includes: an analyzer configured to process a plurality of examinee's eye images taken from a same examinee's eye, at least a part of the examinee's eye images being overlapped with each other, and output an analysis result of a cell of the examinee's eye for each of the examinee's eye images; and an instruction receiving unit configured to receive an instruction regarding a target to be analyzed by the analyzer in the plurality of examinee's eye images from an examiner, wherein the analyzer outputs the analysis results in which the instruction received by the instruction receiving unit is reflected for each of the plurality of examinee's eye images. 1. An image processing apparatus including:an analyzer configured to process a plurality of examinee's eye images taken from a same examinee's eye, at least a part of the examinee's eye images being overlapped with each other, and output an analysis result of a cell of the examinee's eye for each of the examinee's eye images; andan instruction receiving unit configured to receive an instruction regarding a target to be analyzed by the analyzer in the plurality of examinee's eye images from an examiner,wherein the analyzer outputs the analysis results in which the instruction received by the instruction receiving unit is reflected for each of the plurality of examinee's eye images.2. The image processing apparatus according to claim 1 , further including a display control unit configured to display one of the plurality of examinee's eye images on a display device claim 1 ,wherein the instruction receiving unit receives the instruction from the examiner via one examinee's eye image displayed by the display control unit, andin a case where the instruction is received by the instruction receiving unit, the analyzer outputs the analysis results in which the instruction is reflected for each of the plurality of examinee's eye images.3. The image processing apparatus according to claim 1 ,wherein ...

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01-01-2015 дата публикации

Probability mapping for visualisation and analysis of biomedical images

Номер: US20150003706A1

The invention provides a method of image transformation of a biomedical image, said method comprising: for each voxel of said biomedical image, calculating a transform value indicative of the likelihood of that voxel representing a first tissue type (such as scar tissue); wherein calculating said transform value includes: applying at least one feature function to calculate at least one feature value from the original image voxel value for said voxel and/or from the original image voxel values of one or more voxels proximate to said voxel, said feature function or functions being capable of discriminating between said first tissue and a second tissue type (e.g. healthy tissue); and deriving said transform value from said one or more feature values. The method allows more detail to be extracted from images about the locations of scar and healthy tissue and thus facilitates diagnosis. The transformed image can also be segmented to identify particular areas of interest such as the border zone between scar and healthy tissue where the two tissue types are interwoven. The segmentation technique better identifies clinically relevant information within the image. This information can then be processed to provide an indicator of clinical significance.

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13-01-2022 дата публикации

Devices and methods for anatomic mapping for prosthetic implants

Номер: US20220008134A1
Принадлежит: Aortica Corp

A method of generating a patient-specific prosthetic includes receiving anatomic imaging data representative of a portion of a patient's anatomy. A first digital representation of the anatomic imaging data is defined. The first digital representation of the anatomic imaging data is modified. A second digital representation of the portion of the patient's anatomy is defined based on the modifying of the first digital representation of the anatomic imaging data. A patient-specific prosthetic template of the portion of the patient's anatomy is generated based at least in part on the second digital representation of the anatomic imaging data.

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04-01-2018 дата публикации

IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD

Номер: US20180003479A1
Принадлежит:

The present invention relates to accurately determining a contour of a depolarizing region. 1. An image processing apparatus comprising:an extracting unit configured to extract a depolarizing region in a polarization-sensitive tomographic image of a subject's eye;a detecting unit configured to detect, in a tomographic intensity image of the subject's eye, a region corresponding to the extracted depolarizing region, the tomographic intensity image corresponding to the polarization-sensitive tomographic image;a calculating unit configured to calculate a size of the detected region; anda display control unit configured to cause a display unit to display the detected region superimposed on the tomographic intensity image and to cause the display unit to display the calculated size in a state of associating the calculated size with the detected region.2. The image processing apparatus according to claim 1 , wherein the detecting unit detects claim 1 , in the tomographic intensity image claim 1 , a position of the region corresponding to the extracted depolarizing region by using information about a position of the extracted depolarizing region in the polarization-sensitive tomographic image claim 1 ,wherein the detecting unit detects a contour of the region corresponding to the extracted depolarizing region by using information about the detected position and the tomographic intensity image.3. The image processing apparatus according to claim 1 , wherein the polarization-sensitive tomographic image and the tomographic intensity image are positionally associated with each other.4. The image processing apparatus according to claim 1 , further comprising a generating unit configured to split interference light of return light from the subject's eye irradiated with measuring light and reference light corresponding to the measuring light into a plurality of polarization components claim 1 , and generate the polarization-sensitive tomographic image and the tomographic ...

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05-01-2017 дата публикации

Robust Eye Tracking for Scanning Laser Ophthalmoscope

Номер: US20170004344A1
Принадлежит: Canon Inc, UNIVERSITY OF ROCHESTER

A system, apparatus, and method of obtaining an image of a fundus. Acquiring a reference image of the fundus at a first point in time. Acquiring a target image of the fundus at a second point in time. The target imaging area may overlap with the reference imaging area. An area of the target imaging area may be less than an area of the reference imaging area. Estimating movement of the fundus may be based upon at least the target image and the reference image. Acquiring a narrow field image of the fundus. An area of the narrow field imaging area may be less than the area of the target imaging area. A position of the narrow imaging area on the fundus may be adjusted based on the estimated movement of the fundus.

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07-01-2016 дата публикации

APPARATUS AND METHOD FOR TRACKING CONTOUR OF MOVING OBJECT, AND APPARATUS AND METHOD FOR ANALYZING MYOCARDIAL MOTION

Номер: US20160004901A1
Принадлежит:

A moving object contour tracking apparatus includes a contour tracking section for performing, by taking an initial contour of the moving object in a predetermined image slice as a starting contour, contour tracking in a first time direction to acquire a first contour of the moving object and contour tracking in a second time direction to acquire a second contour of the moving object in each image slice; a contour comparison section for calculating, in the predetermined image slice, a similarity between the first contour and the initial contour and a similarity between the second contour and the initial contour; and a contour correction section for taking the contours in the image slices that are acquired in a contour tracking direction corresponding to the greater one of the two similarities as the contours of the moving object in the respective image slices. 1. A myocardial motion analysis apparatus for analyzing a motion of a myocardium of a left ventricle in a medical image slice time series , the medical image slice time series comprising a plurality of image slices acquired with respect to a section of the left ventricle intersected with a long axis of the left ventricle at a plurality of time points in a cardiac cycle , the apparatus comprising:a contour acquisition section configured to acquire an endocardial contour and an epicardial contour of the left ventricle in each image slice;a point linking pair configuration section configured to configure contour points on the endocardial contour and the epicardial contour in a reference image slice of the image slice time series as a plurality of point linking pairs, each point linking pair comprising a contour point on the endocardial contour and a contour point on the epicardial contour, and the two contour points of each point linking pair being located on the same normal of a reference contour of a left ventricle wall in the reference image slice;a point linking pair tracking section configured to determine ...

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07-01-2016 дата публикации

EVALUATION SYSTEM OR DETERMINATION OF CARDIOVASCULAR FUNCTION PARAMETERS

Номер: US20160004933A1
Принадлежит:

An evaluation system for determination of cardiovascular function parameters is provided. The evaluation system includes a data reading module, an image generating module, a contour determination module, an active contour module, a geometric center axis computing module, a view angle selection module and a function evaluation module. After reading cardiovascular graphic files with the data reading module, the image generating module displays 2D images or a 3D image constructed from the 2D images. Then, active contours are generated by the contour determination module and the active contour module, so as for the geometric center axis computing module to calculate geometric center axes. The view angle selection module then rotates the 3D image according to the view angle data received and modifies the 2D image files accordingly to generate plural cross-section images of the 3D image. Finally, the function evaluation module calculates evaluation parameters according to the geometric center axes. Thus, evaluation parameters can be derived from cardiovascular ultrasound images for clinical diagnosis in the evaluation of cardiovascular functions. 1. An evaluation system for determination of cardiovascular function parameters , to be implemented in a computer hardware system , the evaluation system comprising:a data reading module for reading at least an graphic file, each said graphic file comprising a plurality of two-dimensional (2D) image files which are related to one another and are successively created at a plurality of time points in a time sequence;an image generating module for displaying the 2D image files as a plurality of 2D images and a 3D image constructed from the 2D images;a contour determination module for receiving point selection information generated by a user by selecting points in any said 2D image corresponding to an initial said time point, and for determining an initial contour in each said 2D image corresponding to the initial time point ...

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07-01-2016 дата публикации

DETERMINATION OF MYOCARDIAL SCAR USING VELOCITY SPECTRAL MAP

Номер: US20160005186A1
Автор: Truong Quynh A.
Принадлежит:

A system and method for determining regions of a heart affected by a scar. An imaging dataset is acquired of a portion of a subject including the heart and the imaging dataset is processed to identify a motion parameter of the heart. The motion parameter of the heart is mapped on a spectral scale based on the motion parameter over time to identify low velocity regions of the heart. A report is generated indicating the low velocity regions of the heart affected by scar. 1. A system for determining regions of a heart affected by a scar , the system comprising:a memory having stored thereon an imaging dataset acquired from a portion of a subject including the heart;a processor having access to the memory and the imaging dataset stored thereon and configured to process the imaging dataset to identify a motion parameter and map a spectral scale based on the motion parameter over time to identify low velocity regions of the heart; anda display coupled to the processor and configured to display the low velocity regions of the heart relative to a series of images.2. The system as recited in wherein the processor is further configured to determine a wall thickness of the heart within the series of images at each low velocity region of the heart.3. The system as recited in wherein the processor is further configured to determine the low velocity regions of the heart within the series of images having the wall thicknesses below a pre-determined threshold.4. The system as recited in wherein the wall thickness is defined with respect to boundaries of a endocardium and a epicardium.5. The system as recited in wherein the processor is further configured to analyze the boundaries of the endocardium and the epicardium throughout a cardiac cycle of the low velocity regions of the heart.6. The system as recited in wherein the motion parameter includes velocity and the processor is configured to determine the velocity using a non-rigid registration based algorithm to track a voxel-to- ...

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13-01-2022 дата публикации

METHOD AND DEVICE FOR PARALLEL PROCESSING OF RETINAL IMAGES

Номер: US20220012859A1
Принадлежит:

A method for parallel processing of retinal images includes: optimizing an objective function with a chaotic supply-demand algorithm to enhance a real retinal image; synthesizing a virtual retinal image by a hybrid image generation method; establishing a parallel multi-layer decomposed interval type-2 intuitionistic fuzzy convolutional neural network model based on the virtual retinal image and the enhanced real retinal image; and integrating outputs from a plurality of parallel multi-layer decomposed interval type-2 intuitionistic fuzzy convolutional neural network models as a final classification result. 1. A method , comprising:1) optimizing an objective function with a chaotic supply-demand algorithm to enhance a real retinal image;2) synthesizing a virtual retinal image by a hybrid image generation method;3) establishing a parallel multi-layer decomposed interval type-2 intuitionistic fuzzy convolutional neural network model based on the virtual retinal image and the real retinal image enhanced; and4) integrating outputs from a plurality of parallel multi-layer decomposed interval type-2 intuitionistic fuzzy convolutional neural network models as a final classification result.2. The method of claim 1 , wherein 1) is implemented as follows: {'br': None, 'i': EI', 'i,j', 'M', 'I', 'i,j, '()=(()|θ)\u2003\u2003(1)'}, '1.1) performing function transformation M on an input original real retinal image to obtain an enhanced output image{'o': [{'@ostyle': 'single', 'P'}, {'@ostyle': 'single', 'P'}, {'@ostyle': 'single', 'P'}, {'@ostyle': 'single', 'P'}], 'sup': σ', 'n', 'n', '2', 'n', 'n', '2', '1/2, 'sub': p=1', 'q=1', 'p=1', 'q=1, 'where I(i, j) denotes a part of the input original real retinal image, and EI(i, j) denotes a corresponding part of an enhanced retinal image, i, j=1, 2, . . . , n; θ=(r, β, ρ, σ) is an undetermined parameter of the function (1); M(I(i, j)|θ)=M(I(i, j)|r, β, ρ, σ)=rP/(s(i, j)+β)(I(i, j)−p×(i, j))+(i, j) denotes an image enhancement function ...

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13-01-2022 дата публикации

Assisted or Automatic Generating of a Digital Representation of an Annulus Structure of a Valve of a Human Internal Organ

Номер: US20220012887A1
Принадлежит: Laralab GmbH

A method and a system automatically generate a digital representation of an annulus structure of a valve from a segmented digital representation of a human internal heart. The basis for the segmented digital representation is multi-slice computed tomography image data. The method includes automatically determining, for at least a first effective time point, based on a segmentation, i.e. labels, of a provided input segmented digital representation, a candidate plane, and/or a candidate orientation vector together with a candidate center point, arranged with respect to the input segmented digital representation for the first effective time point, and candidate points for the annulus structure are determined automatically. From the candidate points acting as support points, a candidate spline interpolation is generated which is then adapted based on the input segmented digital representation. The digital representation of the annulus structure is then generated based on the adapted candidate spline interpolation.

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04-01-2018 дата публикации

Intelligent multi-scale medical image landmark detection

Номер: US20180005083A1

Intelligent multi-scale image parsing determines the optimal size of each observation by an artificial agent at a given point in time while searching for the anatomical landmark. The artificial agent begins searching image data with a coarse field-of-view and iteratively decreases the field-of-view to locate the anatomical landmark. After searching at a coarse field-of view, the artificial agent increases resolution to a finer field-of-view to analyze context and appearance factors to converge on the anatomical landmark. The artificial agent determines applicable context and appearance factors at each effective scale.

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07-01-2021 дата публикации

IMAGE PROCESSING METHOD, PROGRAM, OPHTHALMIC DEVICE, AND CHOROIDAL BLOOD VESSEL IMAGE GENERATION METHOD

Номер: US20210004939A1
Автор: HIROKAWA Mariko
Принадлежит: NIKON CORPORATION

An image processing method comprising acquiring a first fundus image obtained by photographing a fundus using first light having a first wavelength, and a second fundus image obtained by photographing the fundus using second light having a second wavelength that is shorter than the first wavelength; specifying, in the first fundus image, respective positions of retinal blood vessels appearing in the second fundus image; and generating a choroidal blood vessel image by processing the positions identified in the first fundus image. 111-. (canceled)12. An image processing method comprising:acquiring a first fundus image obtained by photographing a fundus using first light having a first wavelength, and a second fundus image obtained by photographing the fundus using second light having a second wavelength that is shorter than the first wavelength;specifying, in the first fundus image, respective positions of retinal blood vessels appearing in the second fundus image; andgenerating a choroidal blood vessel image by processing the positions identified in the first fundus image.13. The image processing method according to claim 12 , wherein claim 12 , in generating the choroidal blood vessel image claim 12 , inpainting processing is performed on the positions specified in the first fundus image.14. The image processing method according to claim 12 , further comprising extracting the retinal blood vessels from the second fundus image claim 12 , wherein claim 12 ,in generating the choroidal blood vessel image, the retinal blood vessels extracted from the second fundus image are made inconspicuous in the first fundus image.15. The image processing method according to claim 12 , further comprising extracting the retinal blood vessels from the second fundus image claim 12 , wherein claim 12 ,in generating the choroidal blood vessel image, the retinal blood vessels extracted from the second fundus image are removed from the first fundus image.16. The image processing method ...

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07-01-2021 дата публикации

METHOD OF PROCESSING OPTICAL COHERENCE TOMOGRAPHY (OCT) DATA, METHOD OF OCT IMAGING, AND OCT DATA PROCESSING APPARATUS

Номер: US20210004971A1
Принадлежит: TOPCON CORPORATION

An OCT apparatus of an exemplary aspect includes an OCT scanner, image data generating unit, registration unit, and image data composing unit. The OCT scanner is configured to acquire three dimensional data sets by applying an OCT scan to mutually different three dimensional regions of a sample. The image data generating unit is configured to generate a plurality of pieces of image data from the three dimensional data sets. The registration unit is configured to perform a first registration between the plurality of pieces of image data by applying an image correlation calculation to each of overlap regions in the plurality of pieces of image data. The image data composing unit is configured to compose the plurality of pieces of image data based on a result of the first registration. 1: A method of processing data acquired by an optical coherence tomography (OCT) scan , the method comprising:preparing a plurality of three dimensional data sets acquired from a plurality of three dimensional regions of a sample different from each other;generating a plurality of pieces of image data from the plurality of three dimensional data sets;performing a first registration between the plurality of pieces of image data by applying an image correlation calculation to each of a plurality of overlap regions in the plurality of pieces of image data; andcomposing the plurality of pieces of image data based on a result of the first registration.2: The OCT data processing method of claim 1 , wherein for a first image data and a second image data that include mutual overlap regions claim 1 , the image correlation calculation calculates at least one of a translation amount and a rotation amount between the overlap region in the first image data and the overlap region in the second image data.3: The OCT data processing method of claim 2 , wherein the image correlation calculation includes a phase only correlation calculation.4: The OCT data processing method of claim 1 , further comprising ...

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04-01-2018 дата публикации

System And Method That Expands The Use Of Polar Dynamic Programming To Segment Complex Shapes

Номер: US20180005373A1

The present invention provides a system and method that uses polar dynamic programming PDP (PDP) method to generate a segmented image of a shape. 1. A method that uses polar dynamic programming (PDP) to segment a shape comprising the steps of:a. establishing an extracted closed contour of a shape;b. growing the extracted closed contour by localizing weak sub-contours that have gradient magnitudes less than or equal to the mean gradient magnitude inside the closed-contour;c. for each weak sub-contour, running a PDP with a new origin located on the weak sub-contour to produce a mask;d. if the total length of the weak sub-contours in the mask is less than the length of the weak sub-contour that is being grown, the mask is kept, and the weak sub-contour that is being grown is closed:e. if the total length of the weak sub-contours in the mask is greater than the length of the weak sub-contour that is being grown, the mask is not kept, and the weak sub-contour that is being grown is closed; andf. repeating steps b-e until all the weak sub-contours have been examined and closed.2. The method of wherein the shape of a right ventricle of a human heart is segmented.3. The method of wherein the right ventricle is segmented from four chamber views.4. The method of wherein the segmentation includes the trabeculae.5. The method of wherein the segmentation excludes the trabeculae.6. The method of wherein the segmentation includes a framework that uses landmarks selected in a four chamber view to segment the ventricle in a four chamber view.7. The method of wherein the segmentations from a four-chamber view are used to segment the right ventricle in short axis views.8. The method of wherein the PDP interpolates a region from nearby regions.9. The method of wherein regions that are inside the blood pool are interpolated over by analyzing nearby polar regions.10. The method of wherein low-gradient regions of a contour are detected claim 1 , and the PDP is repeated iteratively.11. The ...

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04-01-2018 дата публикации

Systems and methods for medical image registration

Номер: US20180005388A1
Принадлежит: Spectrum Dynamics Medical Ltd

There is provided a method for registration of intravital anatomical imaging modality image data and nuclear medicine image data of a patient's heart comprising: obtaining anatomical image data including a heart of a patient outputted by an anatomical intravital imaging modality; obtaining at least one nuclear medicine image data outputted by a nuclear medicine imaging modality, the nuclear medicine image data including the heart of the patient; identifying a segmentation of a network of vessels of the heart in the anatomical image data; identifying a contour of at least part of the heart in the nuclear medicine image data, the contour including at least one muscle wall border of the heart; correlating between the segmentation and the contour; registering the correlated segmentation and the correlated contour to form a registered image of the anatomical image data and the nuclear medicine image data; and providing the registered image for display.

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02-01-2020 дата публикации

SHAKING IMAGE FOR REGISTRATION VERIFICATION

Номер: US20200005429A1
Принадлежит:

A method and system are described that allow a user to verify a registration proposal during an image-guided ophthalmic surgery. The system configured to perform the method has a processor and a non-transitory computer-readable medium accessible to the processor containing instructions executable by the processor to perform the method. 1. A system configured for verifying , by a user , a proposed registration during ophthalmic surgery , the system comprising:a processor; and ["acquiring, from a photosensor, an intra-operative image of a patient's eye under magnification by a microscope;", "retrieving, from a non-transitory computer-readable medium, a pre-operative reference image of the patient's eye, wherein the limbus of the pre-operative image of the patient's eye has a center;", "performing a registration process to provide a proposed registration of the pre-operative reference image of the patient's eye and the intra-operative image of the patient's eye;", 'overlaying the pre-operative reference image and the intra-operative image to provide a merged image having the proposed registration, wherein the merged image is viewable by the user;', 'adjusting the transparency of at least one of the pre-operative reference image and the intra-operative image, so that the pre-operative reference image and the intra-operative image are simultaneously viewable in the merged image by the user; and', "rotating the viewable pre-operative reference image relative to the viewable intra-operative image comprised in the viewable merged image, wherein the rotating is centered on the center of the limbus of the patient's eye in the pre-operative reference image;"], 'a non-transitory computer-readable medium accessible to the processor containing instructions executable by the processor forthereby allowing the user to verify a proposed registration during ophthalmic surgery.2. The system of claim 1 , wherein the transparency is selected from between about 1-10% claim 1 , 10-20% ...

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02-01-2020 дата публикации

Image segmentation and prediction of segmentation

Номер: US20200005464A1
Принадлежит: Koninklijke Philips NV

Systems and methods are provided for generating and using statistical data which is indicative of a difference in shape of a type of anatomical structure between images acquired by a first imaging modality and images acquired by a second imaging modality. This statistical data may then be used to modify a first segmentation of the anatomical structure which is obtained from an image acquired by the first imaging modality so as to predict the shape of the anatomical structure in the second imaging modality, or in general, to generate a second segmentation of the anatomical structure as it may appear in the second imaging modality based on the statistical data and the first segmentation.

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02-01-2020 дата публикации

APPARATUS AND METHOD FOR CONSTRUCTING A VIRTUAL 3D MODEL FROM A 2D ULTRASOUND VIDEO

Номер: US20200005528A1
Принадлежит:

A method for creating a three-dimensional image of an object from a two-dimensional ultrasound video is provided. The method includes acquiring a plurality of two-dimensional ultrasound images of the object and recording a plurality of videos based on the acquired two-dimensional ultrasound images. Each of the videos includes a plurality of frames. The method further includes separating each of the plurality of frames, cropping each of the plurality of frames to isolate structures intended to be reconstructed, selecting a frame near a center of the object and rotating the image to create a main horizontal landmark, and aligning each frame to the main horizontal landmark. The method also includes removing inter-frame jitter by aligning each of the plurality of frames relative to a previous frame of the plurality of frames, reducing the noise of each of the frames, and stacking each of the frames into a three-dimensional volume. 1. A method for creating a three-dimensional image of an object from a two-dimensional ultrasound video , the method comprising:acquiring a plurality of two-dimensional ultrasound images of the object;recording a plurality of videos based on the acquired two-dimensional ultrasound images, each of the plurality of videos comprising a plurality of frames;separating each of the plurality of frames;cropping each of the plurality of frames to isolate structures intended to be reconstructed;selecting a frame near a center of the object and rotating the image to create a main horizontal landmark;aligning each of the plurality of frames to the main horizontal landmark; andstacking each of the aligned plurality of frames into a three-dimensional volume.2. The method according to claim 1 , further comprising:removing inter-frame jitter by aligning each of the plurality of frames relative to a previous frame of the plurality of frames.3. The method according to claim 1 , further comprising:reducing a noise of each of the plurality of frames.4. The method ...

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03-01-2019 дата публикации

Generalizable medical image analysis using segmentation and classification neural networks

Номер: US20190005684A1
Принадлежит: DeepMind Technologies Ltd

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a final classification output for an image of eye tissue. The image is provided as input to each of one or more segmentation neural networks to obtain one or more segmentation maps of the eye tissue in the image. A respective classification input is generated from each of the segmentation maps. For each of the segmentation maps, the classification input for the segmentation map is provided as input to each of one or more classification neural networks to obtain, for each segmentation map, a respective classification output from each classification neural network. A final classification output for the image is generated from the respective classification outputs for each of the segmentation maps.

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12-01-2017 дата публикации

ULTRASONIC DIAGNOSTIC APPARATUS AND MEDICAL IMAGE PROCESSING APPARATUS

Номер: US20170007201A1
Принадлежит: Toshiba Medical Systems Corporation

An ultrasonic diagnostic apparatus according to a present embodiment includes processing circuitry. The processing circuitry is configured to extract a cardiac valve from three-dimensional images of frames generated by controlling an ultrasonic probe to perform transmission and reception of ultrasonic waves. The processing circuitry is configured to calculate, as a prolapse gap, a gap between valve leaflets of the cardiac valve in a three-dimensional image of a specific frame among the frames. The processing circuitry is configured to display the prolapse gap on a display. 1. An ultrasonic diagnostic apparatus , comprising: extract a cardiac valve from three-dimensional images of frames generated by controlling an ultrasonic probe to perform transmission and reception of ultrasonic waves,', 'calculate, as a prolapse gap, a gap between valve leaflets of the cardiac valve in a three-dimensional image of a specific frame among the frames, and', 'display the prolapse gap on a display., 'processing circuitry configured to'}2. The ultrasonic diagnostic apparatus according to claim 1 , whereinthe processing circuitry is configured to define a frame corresponding to an end-systole as the specific frame.3. The ultrasonic diagnostic apparatus according to claim 2 , whereinthe processing circuitry is configured to determine the end-systole based on an electrocardiogram signal.4. The ultrasonic diagnostic apparatus according to claim 2 , wherein calculate prolapse gaps between the valve leaflets of the cardiac valve with respect to the three-dimensional images of the frames, and', 'determine, as the end-systole, a frame having a maximum prolapse gap among the prolapse gaps relating to the frames., 'the processing circuitry is configured to'}5. The ultrasonic diagnostic apparatus according to claim 1 , whereinthe processing circuitry is configured to calculate, as the prolapse gap, one gap between the valve leaflets of the cardiac valve in the three-dimensional image of the ...

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12-01-2017 дата публикации

Augmented and virtual reality display systems and methods for delivery of medication to eyes

Номер: US20170007450A1
Принадлежит: Magic Leap Inc

Configurations are disclosed for a health system to be used in various healthcare applications, e.g., for patient diagnostics, monitoring, and/or therapy. The health system may comprise a light generation module to transmit light or an image to a user, one or more sensors to detect a physiological parameter of the user's body, including their eyes, and processing circuitry to analyze an input received in response to the presented images to determine one or more health conditions or defects.

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14-01-2016 дата публикации

METHOD AND SYSTEM FOR PATIENT-SPECIFIC MODELING OF BLOOD FLOW

Номер: US20160007945A1
Автор: Taylor Charles A.
Принадлежит:

Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model. 1184-. (canceled)185. A method for vascular assessment comprising:receiving a plurality of 2D angiographic images of a portion of a vasculature of a subject, and processing said images to produce a stenotic model over the vasculature, said stenotic model having measurements of the vasculature at one or more locations along vessels of the vasculature;obtaining a flow characteristic of the stenotic model; andcalculating an index indicative of vascular function, based, at least in part, on the flow characteristic in the stenotic model.186. The method according to claim 185 , wherein said measurements of the vasculature are at one or more locations along a centerline of at least one branch of the vasculature.187. The method according to claim 185 , wherein said flow characteristic of said stenotic model comprises resistance to fluid flow.188. The method according to claim 187 , further comprising identifying in said first stenotic model a stenosed vessel and a downstream portion of said stenosed vessel claim 187 , and calculating said resistance to fluid flow in said downstream portion;wherein said index is calculated based on a volume of said downstream portion, and on a contribution of said stenosed vessel to said resistance to fluid flow.189. The method according to claim 185 , wherein said flow characteristic of said stenotic model ...

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20-01-2022 дата публикации

PUPIL ELLIPSE-BASED, REAL-TIME IRIS LOCALIZATION

Номер: US20220019791A1
Принадлежит: Blink.O.G.Ltd

The disclosure relates to systems, methods and programs for developing real-time user-specific eye model based on iris localization using solely pupil-ellipse analysis. 2. The method of claim 1 , wherein the step of identifying the major axis R of the projected pupil ellipse comprises:a. detecting a pupil ellipse in each image;b. determining the detected ellipse's major axis length;c. unprojecting each pupil ellipse to a circle in three-dimensional (3D) space; andd. combining unprojected circles from each image, thereby forming a 3D pupil motion model.3. The method of claim 2 , further comprising measuring a radius of the pupil along each of the pair of rays r claim 2 , inscribing limbus visibility angle θ claim 2 , establishing ray-specific radii r claim 2 , r claim 2 , for each image.4. The method of claim 3 , wherein the pupil center is established as the mid-point of the detected major axis R of the pupil ellipse.5. The method of claim 4 , wherein the steps of detecting limbus points LP claim 4 , and LPfor each edge-rendered image and compiling the user-specific eye-model comprise:{'sub': PL', 'PLq', 'PL1', 'PL2, 'a. for each ray inscribing limbus visibility angle θ, recording distance Dfrom the pupil center to the second detected edge in each edge-detected image thereby identifying D, and D, for each edge-rendered image;'}{'sub': PL1', 'PL2', 'P1', 'P2', 'N1', 'N2, 'b. normalizing each of Dand D, by the respective rand r, thereby identifying normalized distances Dand Dfor each edge-rendered image;'}{'sub': PL1', 'PL2, 'c. using a predetermined normalized distance range to establish a plurality of bins to build a histogram of Dand Dfrom one or more captured images;'}{'sub': 'Pi', 'd. multiplying each bin content by its corresponding r;'}{'sub': 'N', 'e. selecting the normalizing radius rfrom the histogram mode bin,'}{'sub': j', 'Pi', 'N, 'f. calculating limbus points (l) detected from one or more of the captured images constrained by r×r; and'}{'sub': j', 'j, 'g ...

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20-01-2022 дата публикации

Digital Image Optimization For Ophthalmic Surgery

Номер: US20220020118A1
Автор: Hallen Paul R.
Принадлежит:

The present disclosure provides a digital image optimization system including a camera that includes at least one sensor that detects light reflected off an eye and sends a signal corresponding to the detected light to a processor. The system further includes an image processing system including the processor and that executes instructions to produce a digital image of the eye. The image processing system also executes instructions to apply a digital image optimization algorithm including a trained machine-learning model to the digital image of the eye to generate an optimized digital image of the eye. The system further includes a digital display that displays the optimized digital image of the eye. 1. A digital image optimization system comprising:a camera comprising at least one sensor operable to detect light reflected off an eye and send a signal corresponding to the detected light to a processor;an image processing system comprising the processor and operable to:execute instructions to produce a digital image of the eye; and 'a digital display operable to display the optimized digital image of the eye.', 'execute instructions to apply a digital image optimization algorithm comprising a trained machine-learning model to the digital image of the eye to generate an optimized digital image of the eye; and'}2. The digital image optimization system of wherein the digital image optimization algorithm at least partially reduces instrument glare claim 1 , optical aberration claim 1 , vitreous fog claim 1 , or any combination thereof claim 1 , in the digital image of the eye to generate the optimized digital image of the eye.3. The digital image optimization system of wherein the optimized digital image of the eye has contrast claim 1 , sharpness claim 1 , clarity claim 1 , dynamic range claim 1 , or any combination thereof that is the same or increased than that of the digital image of the eye.4. The digital image optimization system of wherein the optimized digital ...

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20-01-2022 дата публикации

METHODS OF OBTAINING 3D RETINAL BLOOD VESSEL GEOMETRY FROM OPTICAL COHERENT TOMOGRAPHY IMAGES AND METHODS OF ANALYZING SAME

Номер: US20220020144A1
Принадлежит:

Embodiments relate to extracting blood vessel geometry from one or more optical coherent tomography (OCT) images for use in analyzing biological structures for diagnostic and therapeutic applications for diseases that can be detected by vascular changes in the retina. An OCT image refers generally to one or more images of any dimension obtained using any one or combination of OCT techniques. Some embodiments include a method of identifying a region of interest of a retina from a plurality of retinal blood vessels in at least one optical coherence tomography (OCT) image of at least a portion of the retina. Some embodiments include a method of distinguishing between a plurality of retinal layers from vessel morphology information of retinal blood vessels in at least one optical coherence tomography (OCT) image of at least a portion of the retina. 1. A method of identifying a 3D region of interest of a retina from a plurality of retinal blood vessels in a 3D optical coherence tomography (OCT) image , comprising more than one OCT image , of at least a portion of the retina , the method comprising:using at least one computer programmed to perform: obtaining a geometrical representation of a vascular tree or vessel network of retinal blood vessels from the 3D OCT image;evaluating at least one first morphological feature of a plurality of retinal blood vessels detected in the geometrical representation of the 3D OCT image at each of a plurality of voxel locations in the geometrical representation; andidentifying a first region of interest based at least in part on evaluating the at least one first morphological feature of the plurality of blood vessels, wherein the first region of interest comprises a particular retinal layer.2. The method of claim 1 , wherein identifying the first region of interest comprises constructing a likelihood function of voxels belong to the first region of interest and a smoothness constraint to force the first region of interest to be ...

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11-01-2018 дата публикации

IMAGE PROCESSING DEVICE, METHOD OF IMAGE PROCESSING, AND SURGICAL MICROSCOPE

Номер: US20180008139A1
Автор: OOTSUKI Tomoyuki
Принадлежит: SONY CORPORATION

The present technology relates to an image processing device, a method of image processing, and a surgical microscope that can detect and report a dangerous condition on the basis of a tomographic image during eye surgery. An image processing device includes: a dangerous condition detection unit configured to detect a dangerous condition on the basis of a tomographic image of an eye acquired during surgery of the eye; and a control information generation unit configured to generate and output control information used to manage the detected dangerous condition. The present technology is applicable to, for example, a surgical system used for eye surgery or other surgical procedures. 1. An image processing device comprising:a dangerous condition detection unit configured to detect a dangerous condition on the basis of a tomographic image of an eye acquired during surgery of the eye; anda control information generation unit configured to generate and output control information used to manage the detected dangerous condition.2. The image processing device according to claim 1 ,wherein the dangerous condition detection unit calculates a risk parameter on the basis of the tomographic image of the eye and detects the dangerous condition on the basis of the risk parameter.3. The image processing device according to claim 2 ,wherein the dangerous condition detection unit calculates a distance from a corneal vertex to an iridocorneal angle as the risk parameter and detects the dangerous condition.4. The image processing device according to claim 1 ,wherein the dangerous condition detection unit detects a shallow anterior chamber as the dangerous condition.5. The image processing device according to claim 2 ,wherein the dangerous condition detection unit calculates a distance from a corneal vertex to a lower end of a posterior capsule as the risk parameter and detects the dangerous condition.6. The image processing device according to claim 1 ,wherein the dangerous condition ...

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27-01-2022 дата публикации

SYSTEM AND METHOD FOR OBTAINING MEASUREMENTS FROM IMAGING DATA

Номер: US20220028066A1
Принадлежит:

Probabilistic measurements of objects in image data are obtained by analyzing individual segments of an image to determine the probability that an object is present in the segment, and aggregating the total probabilities among all of the segments in the image to provide an overall probabilistic measurement of the object. For example, pixels of an OCT image can be assigned probabilities that the pixel contains a retinal layer or background. The sum of probabilities of the retinal layer being present in a one-dimensional row of pixels gives a probabilistic length in that dimension of the retinal layer. Likewise, the sum of a two-dimensional array of pixels gives an area; and a three-dimensional array gives a volume. 1. A method for measuring an object in an image , the method comprising:segmenting an image into a plurality of segments;obtaining a probabilistic value for each of the plurality of segments, the probabilistic value corresponding to a likelihood of an object being in each of the plurality of segments; andaggregating the probabilistic values from the plurality of segments to obtain a measurement for the object.2. The method of claim 1 , wherein the image comprises multiple classes of objects.3. The method of claim 2 , further comprising obtaining probabilistic values for each of the multiple classes of objects.4. The method of claim 2 , wherein the multiple classes of objects comprise one or more of: a retinal layer claim 2 , a fluid pocket claim 2 , lesion claim 2 , cyst claim 2 , and background.5. The method of claim 1 , wherein the image is an OCT image.6. The method of claim 1 , wherein the plurality of segments comprise pixels.7. The method of claim 1 , wherein the measurements are distances claim 1 , areas claim 1 , volumes claim 1 , distances over time claim 1 , areas over time claim 1 , or volumes over time.8. The method of claim 1 , wherein the probabilistic values are between 0 and 1 claim 1 , inclusive.9. The method of claim 1 , wherein the ...

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27-01-2022 дата публикации

SYSTEMS, METHODS, AND DEVICES FOR MEDICAL IMAGE ANALYSIS, DIAGNOSIS, RISK STRATIFICATION, DECISION MAKING AND/OR DISEASE TRACKING

Номер: US20220028070A1
Принадлежит:

The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and/or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and/or dynamically identify one or more features, such as plaque and vessels, and/or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, and/or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and/or quantified parameters. 1. A method for displaying computed tomography (CT) images and corresponding coronary vessel information including images rendered from the CT images , and identification and measurements of lumen , vessel walls and plaque of coronary vessels determined from the CT images by image processing , the method comprising:storing computer-executable instructions, a set of CT images of a patient's coronary vessels, and coronary vessel information associated with the set of CT images on a non-transitory computer readable medium, the coronary vessel information including information of plaque and locations of segments of the coronary vessels;generating and displaying in a user interface a first panel including a representation of coronary vessels using the coronary vessel information, the representation of coronary vessels depicting coronary vessels identified in the set of CT images;receiving a first input in the first panel indicating a selection of a coronary vessel of the representation of coronary vessels;in response to the first input, generating and displaying on the user interface a second panel illustrating at least a portion of the selected coronary ...

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27-01-2022 дата публикации

METHOD AND SYSTEM FOR PROVIDING AN AT LEAST 3-DIMENSIONAL MEDICAL IMAGE SEGMENTATION OF A STRUCTURE OF AN INTERNAL ORGAN

Номер: US20220028085A1
Принадлежит:

The present invention provides a system and a computer-implemented method for generating at least one 4-dimensional medical image segmentation for at least one structure of a human heart. The method includes the steps of: providing a first n 4-dimensional medical image comprising the at least one structure of the human heart, the medical image being based on a computed tomography scan image; generating a segmentation of at least part of the provided first 4-dimensional medical image using at least one first trained artificial neural network, wherein the at least one first trained artificial neural network is configured as a convolutional processing network with U-net architecture; and generating at least one 4-dimensional medical image segmentation for the at least one structure of the human heart based at least on the segmentation generated by the at least one first trained artificial neural network. 1. A computer-implemented method for generating a 4-dimensional medical image segmentation for at least one structure of a human heart , comprising the steps of:providing a first 4-dimensional medical image comprising the at least one structure of the human heart, the medical image being based on a computed tomography scan image;generating a segmentation of at least part of the provided first 4-dimensional medical image using at least one first trained artificial neural network, wherein the at least one first trained artificial neural network is configured as a convolutional processing network with U-net architecture, wherein each convolutional processing network with U-net architecture comprises:a down-sampling path comprising at least two processing convolutional blocks and at least two down-sampling blocks;an up-sampling path comprising at least two processing convolutional blocks and at least two up-sampling blocks;wherein the down-sampling path generates a direct input and/or an indirect input for the up-sampling path; andgenerating at least one 4-dimensional ...

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12-01-2017 дата публикации

METHODS AND SYSTEMS FOR LASER SCAN LOCATION VERIFICATION AND LASER SURGICAL SYSTEMS WITH LASER SCAN LOCATION VERIFICATION

Номер: US20170011501A1
Принадлежит:

A method of verifying a laser scan at a predetermined location within an object includes imaging at least a portion of the object, the resulting image comprising the predetermined location; identifying the predetermined location in the image, thereby establishing an expected scan location of the laser scan in the image; performing a laser scan on the object by scanning a focal point of the laser beam in a scanned area; detecting a luminescence from the scanned area and identifying an actual scanned location within the image based on the detected luminescence; and determining whether the difference between the actual scanned location and the expected scan location is within a threshold value. 1. A method of verifying the placement a laser scan at a predetermined location within an object , comprising:imaging at least a portion of the object, the resulting image comprising the predetermined location;identifying the predetermined location in the image, thereby establishing an expected scan location of the laser scan in the image;performing the laser scan on the object by scanning a focal point of a laser beam in a scanned area;detecting a luminescence from the scanned area and identifying an actual scanned location within the image based on the detected luminescence; andverifying whether the laser scan was at the predetermined location based on a difference between the actual scanned location and expected scan location.2. The method of claim 1 , wherein the object is a human eye.3. The method of claim 1 , wherein the object is a calibration apparatus.4. The method of claim 1 , wherein the laser beam is a pulsed laser beam having a wavelength of 320 nm to 370 nm.5. The method of claim 1 , wherein the luminescence has a wavelength of 400 nm or more.6. The method of claim 1 , wherein the image comprises an array of pixels.7. The method of claim 6 , wherein the expected location comprises one or more pixels selected from amongst the array of pixels.8. The method of claim 6 ...

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12-01-2017 дата публикации

Method and magnetic resonance system for segmenting a balloon-type volume

Номер: US20170011526A1
Принадлежит: Siemens Healthcare GmbH

In a method and magnetic resonance apparatus for segmenting a balloon-type volume having an inner surface and an outer surface in an image data record, that is provided to a computer, the image data record at least partially mapping a balloon-type volume, the computer is provided with a starting area and determines a first boundary surface as an inner surface of the balloon-type volume. The computer is provided with a starting surface in the balloon-type volume, and determines a second boundary surface as an outer surface of the balloon-type volume on the basis of the starting surface. The balloon-type volume is determined in the computer as a volume within the first boundary surface and the second boundary surface.

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14-01-2016 дата публикации

VEHICLE SAFETY SYSTEM AND OPERATING METHOD THEREOF

Номер: US20160012274A1
Принадлежит:

There is provided a vehicle safety system including a sensing unit, a processing unit, a control unit and a display unit. The sensing unit is configured to capture an image frame containing an eyeball image from a predetermined distance. The processing unit is configured to calculate a pupil position of the eyeball image in the image frame and generate a drive signal corresponding to the pupil position. The control unit is configured to trigger a vehicle device associated with the pupil position according to the drive signal. The display unit is configured to show information of the vehicle device. 1. A vehicle safety system comprising:a sensing unit configured to capture an image frame containing an eyeball image of an eyeball from a predetermined distance;a processing unit configured to calculate a pupil position of the eyeball image in the image frame and generate a drive signal corresponding to the pupil position; anda control unit configured to trigger a vehicle device associated with the pupil position according to the drive signal.2. The vehicle safety system as claimed in claim 1 , further comprising:a light source configured to emit light toward the eyeball to generate at least one glint on the eyeball,wherein the processing unit is configured to determine the pupil position according to a spatial relationship between a pupil image and at least one glint image in the image frame.3. The vehicle safety system as claimed in claim 1 , wherein the eyeball image is divided into at least two sub-regions to respectively correspond to different functions; and the processing unit is configured to respectively calculate a gray value of each of the at least two sub-regions and identify the pupil position as one of the two sub-regions according to the calculated gray values.4. The vehicle safety system as claimed in claim 3 , wherein the gray value is an average gray value or a summation of gray values.5. The vehicle safety system as claimed in claim 1 , wherein the ...

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03-02-2022 дата публикации

MEDICAL IMAGE PROCESSING APPARATUS, X-RAY DIAGNOSTIC APPARATUS, AND MEDICAL IMAGE PROCESSING METHOD

Номер: US20220031277A1
Принадлежит: Canon Medical Systems Corporation

A medical information processing device according to an embodiment includes processing circuitry configured to acquire a plurality of X-ray images including a device inserted into a body of a subject, suppress movement of a characteristic portion characterized in a shape that is positioned distant from a distal end of the device among the X-ray images, and output the X-ray images in which movement of the characteristic portion is suppressed. 1: A medical image processing apparatus comprising: acquire a plurality of X-ray images including a device inserted into a body of a subject,', 'suppress movement of a characteristic portion characterized in a shape that is positioned distant from a distal end of the device among the X-ray images, and', 'output the X-ray images in which movement of the characteristic portion is suppressed., 'processing circuitry configured to'}2: The medical image processing apparatus according to claim 1 , wherein the processing circuitry suppresses movement of the characteristic portion by performing matching processing among the X-ray images.3: The medical image processing apparatus according to claim 1 , wherein the processing circuitry extracts the characteristic portion from each of the X-ray images claim 1 , and performs matching processing for the characteristic portion among the X-ray images to suppress movement of the characteristic portion.4: The medical image processing apparatus according to claim 2 , wherein the processing circuitry suppresses movement of the characteristic portion by performing the matching processing between the X-ray image of a reference frame and the X-ray image of a frame other than the reference frame.5: The medical image processing apparatus according to claim 4 , wherein the processing circuitry periodically updates the reference frame.6: The medical image processing apparatus according to claim 2 , comprising:a storage unit configured to store a blood vessel image acquired from the subject, wherein ...

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14-01-2016 дата публикации

IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD

Номер: US20160012575A1
Автор: Yonezawa Keiko
Принадлежит:

An image processing apparatus includes an alignment unit configured to align a first fundus oculi image that is an aberration-corrected image of an eye being examined and a second fundus oculi image having a larger view angle and a lower resolution than the first fundus oculi image, by using a third fundus oculi image having a smaller view angle and a higher resolution than the second fundus oculi image; a distance acquisition unit configured to acquire a distance from a macula lutea of the eye being examined to a certain position in the first fundus oculi image aligned by the alignment unit; and an evaluation unit configured to evaluate the state of the eye being examined from the distance and information concerning photoreceptor cells included in the first fundus oculi image. 1. An image processing apparatus comprising:an acquisition unit configured to acquire a first fundus oculi image, a second fundus oculi image and a third fundus oculi image, the first fundus oculi image being an aberration-corrected image of an eye being examined, the second fundus oculi image being an image having a larger view angle and a lower resolution than the first fundus oculi image, the third fundus oculi image being an image having a smaller view angle and a higher resolution than the second fundus oculi image;an alignment unit configured to align a first fundus oculi image and a second fundus oculi image by using a third fundus oculi image.2. The image processing apparatus according to claim 1 , wherein the alignment unit aligns the first fundus oculi image and the second fundus oculi image in accordance with a result of alignment between the second fundus oculi image and the third fundus oculi image and a result of alignment between the third fundus oculi image and the first fundus oculi image.3. The image processing apparatus according to claim 1 , further comprising:a display control unit configured to cause a display unit to display the first fundus oculi image and the second ...

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14-01-2016 дата публикации

SYSTEM AND METHOD FOR NON-INVASIVE DETERMINATION OF CARDIAC ACTIVATION PATTERNS

Номер: US20160012587A1
Автор: Truong Quynh A.
Принадлежит:

A system and method for determining a pattern of activation of a heart of a subject. An imaging dataset is acquired of a portion of the subject including the heart and the imaging dataset is processed=to identify a motion parameter of the heart. The motion parameter of the heart is mapped over time to create a pattern of activation of the heart. A global LV dyssynchrony index is automatically generated and analyzed using changes in wall thickness of the heart over time. A report is generated indicating the pattern of activation of the heart of the subject. 1. A system for determining a pattern of activation of a heart of a subject , the system comprising:a memory having stored thereon an imaging dataset acquired from a portion of the subject including the heart;a processor having access to the memory and the imaging dataset stored thereon and configured to process the imaging dataset to identify a motion parameter and map the motion parameter over time to create a pattern of activation of the heart of the subject over time; anda display coupled to the processor and configured to display the pattern of activation of the heart in a series of images of the heart of the subject over time.2. The system as recited in wherein the processor processes the imaging dataset to determining a systole and a diastole phase of a cardiac cycle.3. The system as recited in wherein the processor segregates the imaging dataset into a cardiac anatomy dataset and a motion dataset.4. The system as recited in wherein the processor merges the cardiac anatomy dataset and the motion dataset to form a combined dataset.5. The system as recited in wherein the processor processes the motion parameter using a non-rigid registration based algorithm to track a voxel-to-voxel movement during a cardiac cycle.6. The system of wherein the motion parameter includes velocity and the voxel-to-voxel movement is expressed as velocity.7. The system as recited in wherein the motion parameter includes a time-to- ...

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14-01-2016 дата публикации

SYSTEMS AND METHODS FOR CORONARY IMAGING

Номер: US20160012613A1
Принадлежит:

A method is provided including determining at least one range of phases of a cardiac cycle from which to select a selected phase based on at least one of patient demographic information, patient physiological information, or a general physiological model. The method also includes generating corresponding intermediate images for each of the phases of the at least one range of phases. Further, the method includes selecting the selected phase based on at least one image quality (IQ) metric of the intermediate images. Also, the method includes generating an image for diagnostic use using imaging information from the selected phase. 1. A method comprising:determining at least one range of phases of a cardiac cycle from which to select a selected phase based on at least one of patient demographic information, patient physiological information, or a general physiological model;generating corresponding intermediate images for each of the phases of the at least one range of phases;selecting the selected phase based on at least one image quality (IQ) metric of the intermediate images; andreconstructing an image for diagnostic use using imaging information from the selected phase.2. The method of claim 1 , further comprising operating an X-ray source and computed tomography (CT) detector to acquire CT imaging information over a first range corresponding to the determined at least one range of phases claim 1 , wherein the X-ray source and CT detector are not operated to acquire CT imaging information over a second range corresponding to a range of phases of the cardiac cycle not included in the determined at least one range of phases.3. The method of claim 1 , further comprising collecting motion correction information during at least one of the generating the intermediate images or selecting the selected phase claim 1 , and motion correcting the generated image using the motion correction information.4. The method of claim 3 , wherein the collecting motion correction ...

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11-01-2018 дата публикации

Image processing apparatus, image processing method, and program therefor

Номер: US20180012353A1
Автор: Hiroshi Imamura
Принадлежит: Canon Inc

Provided is an image processing apparatus configured to process an image of a fundus of an eye, which is capable of simply and accurately measuring a distribution of cells that form a blood vessel wall of an eye. The image processing apparatus includes: an image acquiring unit configured to acquire an image of an eye; a vessel feature acquiring unit configured to acquire membrane candidate points that form an arbitrary wall of a blood vessel based on the acquired image; and a cell identifying unit configured to identify a cell that forms the wall of the blood vessel based on the membrane candidate points.

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10-01-2019 дата публикации

APPLICATION TO DETERMINE READING/WORKING DISTANCE

Номер: US20190012784A1
Автор: Wiley William F.
Принадлежит:

A method of measuring working distance between a handheld digital device and eyes of a user, including capturing an image of at least eyes of a user via an onboard camera of the handheld digital device while the user is viewing a display of the handheld digital device and comparing an apparent angular size of a structure of the eyes or face of the user to a previously captured image of the structure of the eyes or the face that was taken in the presence of an object of known size. The method further includes calculating a working distance based on the apparent angular size of the structure of the eyes or the face; and saving at least the working distance to memory or reporting out the calculated working distance on the display. A handheld digital device programmed with an algorithm to perform the method is also included. 1. A computer implemented method of assessing reading ability of a user , comprising:presenting a reading stimulus to patient on a display of a handheld digital device;determining a working distance between the handheld digital device and eyes of the user; andsaving at least the working distance determined to memory, reporting out the determined working distance on the display or both.2. The computer implemented method as claimed in claim 1 , further comprising calibrating a processor of the handheld digital device by capturing an image of eye structures claim 1 , facial structures or both while including an object of known size in the captured image.3. The computer implemented method as claimed in claim 2 , further comprising determining a size of the eye structures claim 2 , facial structures or both relative to the object of known size in the captured image.4. The computer implemented method as claimed in claim 1 , further comprising determining the working distance directly or on the basis of comparison to the object of known size.5. The computer implemented method as claimed in claim 1 , further comprising making a record of font size of ...

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14-01-2021 дата публикации

METHODS FOR DETECTION AND ENHANCED VISUALIZATION OF PATHOLOGIES IN A HUMAN EYE

Номер: US20210012494A1
Принадлежит:

Various methods for the detection and enhanced visualization of a particular structure or pathology of interest in a human eye are discussed in the present disclosure. An example method to visualize a given pathology (e.g., CNV) in an eye includes collecting optical coherence tomography (OCT) image data of the eye from an OCT system. The OCT image data is segmented to identify two or more retinal layer boundaries located in the eye. The two or more retinal layer boundaries are located at different depth locations in the eye. One of the identified layer boundaries is moved and reshaped to optimize visualization of the pathology located between the identified layer boundaries. The optimized visualization is displayed or stored or for a further analysis thereof. 1. A method for visualizing a pathology in an eye , said method comprising:collecting three-dimensional optical coherence tomography (3D-OCT) image data of the eye from an OCT system;obtaining an initial slab from the 3D-OCT image data, the initial slab having a predefined upper limit and a predefined lower limit and containing the pathology within the upper and lower limits;generating a reference map based on the pathology to be visualized, said reference map being generated from the 3D-OCT image data and containing maximum values in the en face locations where the pathology is located and minimum values in other background en face regions;optimizing the upper and/or lower limits of the initial slab using the reference map for the visualization of the pathology;generating a final slab based on the optimized upper and lower limits, wherein the en face projection of the final slab depicts the pathology with improved clarity; anddisplaying or storing the final slab or a further analysis thereof.2. The method as recited in further comprising:calculating motion contrast information in the 3D-OCT image data using an OCT angiography (OCTA) processing technique to obtain OCTA image data, wherein the initial slab is ...

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03-02-2022 дата публикации

AUTOMATED EXTERNAL DEFIBRILLATION WITH DEEP NEURAL NETWORK

Номер: US20220032075A1
Принадлежит:

The invention provides, in some aspects, an automated external defibrillator (AED) that includes defibrillation circuitry capable of delivering a therapeutic shock to a patient. The AED also includes an input that receives a patient ECG signal representing real-time electrical activity of a heart of the patient and that may include artifacts resulting from cardiopulmonary resuscitation of the patient. The AED generates a real-time alert from a patient data image that is based on the patient ECG signal to effect application of the therapeutic shock to the patient. The AED generates that alert based at least in part on a shock recommendation of an artificial intelligence (AI) engine that analyzes the patient data image using a machine learning (ML) model trained with training data images. The patient data image comprises pixels whose values are a function of magnitudes of components of representations of respective time-slices of the patient ECG signal in a frequency domain. At least one training data image comprises pixels whose values are a function of magnitudes of components of representations of respective time-slices of a respective training ECG signal in the frequency domain. 1. An automated external defibrillator (AED) , comprising:A. defibrillation circuitry capable of delivering a therapeutic shock to a patient,B. an input that receives a patient ECG signal representing real-time electrical activity of a heart of the patient and that may include artifacts resulting from cardiopulmonary resuscitation of the patient,C. an artificial intelligence (AI) engine that generates a shock recommendation from a patient data image that is based on the patient ECG signal using a machine learning (ML) model trained with training data images, the patient data image comprising pixels whose values are a function of magnitudes of components of representations of respective time-slices of the patient ECG signal in a frequency domain, and at least one training data image ...

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09-01-2020 дата публикации

Deep convolutional neural network with self-transfer learning

Номер: US20200013165A1
Принадлежит: General Electric Co

Systems and techniques for facilitating a deep convolutional neural network with self-transfer learning are presented. In one example, a system includes a machine learning component, a medical imaging diagnosis component and a visualization component. The machine learning component generates learned medical imaging output regarding an anatomical region based on a convolutional neural network that receives medical imaging data. The machine learning component also performs a plurality of sequential downsampling and upsampling of the medical imaging data associated with convolutional layers of the convolutional neural network. The medical imaging diagnosis component determines a classification and an associated localization for a portion of the anatomical region based on the learned medical imaging output associated with the convolutional neural network. The visualization component generates a multi-dimensional visualization associated with the classification and the localization for the portion of the anatomical region.

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