25-01-2018 дата публикации
Номер: US20180025514A1
Systems and methods for MBIR reconstruction utilizing a super-voxel approach are provided. A super-voxel algorithm is an optimization algorithm that, as with ICD, produces rapid and geometrically agnostic convergence to the MBIR reconstruction by processing super-voxels which comprise a plurality of voxels whose corresponding memory entries substantially overlap. The voxels in the super-voxel may also be localized or adjacent to one another in the image. In addition, the super-voxel algorithm straightens the memory in the “sinogram” that contains the measured CT data so that both data and intermediate results of the computation can be efficiently accessed from high-speed memory and cache on a computer, GPU, or other high-performance computing hardware. Therefore, each iteration of the super-voxel algorithm runs much faster by more efficiently using the computing hardware. 1. A tomography system , comprising:one or more computer processors having a first memory, the first memory having a first access speed;a second memory having a second access speed slower than the first access speed; and receiving measured data from a tomography scanner;', 'storing the measured data in the second memory; and', 'creating an initial image from the received measured data, the initial image comprising a plurality of voxels;', 'updating a super voxel in the initial image, the super voxel comprising a plurality of voxels whose corresponding data locations in the second memory substantially overlap, the updating performed by retrieving said corresponding data from the second memory and storing said corresponding data in the first memory, said corresponding data comprising a subset of the measured data., 'one or more program modules stored on a third memory and executable by the one or more processors to perform operations comprising2. The system according to claim 1 , wherein the first memory is organized in cache lines claim 1 , and the updating includes rearranging the portions of the ...
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