30-01-2020 дата публикации
Номер: US20200029923A1
Принадлежит:
Methods and apparatus for grading coronary calcium, including an example apparatus that includes a set of logics and a memory that stores a set of radiographic images. The set of logics includes an image acquisition logic that acquires a set of radiographic images of a region of tissue, the set of radiographic images including a low-energy reference x-ray image and a higher-energy floating x-ray image, a registration logic that produces a set of registered images from a plurality of members of the set of radiographic images, an enhancement logic that produces a set of calcium-enhanced images from the set of registered images, a post-enhancement logic that produces a bone image from the set of calcium-enhanced images, and a grading logic that computes a coronary heart disease prediction score based, at least in part, on the bone image and a set of features extracted from the bone image. 1. An apparatus for predicting coronary heart disease , comprising:a processor;a memory configured to store a set of energy dependent images;an input/output (IO) interface;a set of circuits; andan interface that connects the processor, the memory, the IO interface, and the set of circuits, a first circuit configured to acquire a set of energy dependent images of a region of tissue, the region of tissue including a heart, a coronary artery, a pulmonary artery, an aorta, or an aortic valve, where the set of energy dependent images includes a first energy x-ray image and a second, different energy x-ray image;', 'a second circuit configured to generate a set of rib suppressed images based on the set of energy dependent images, where the set of rib suppressed images includes a first energy rib suppressed image and a second energy rib suppressed image;', generating a set of pre-decomposition images by registering the set of energy dependent images or the set of rib suppressed images using anatomy aware registration;', 'generating a set of selectively filtered images by selectively ...
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