Patent ID: 11928827
Assignee: nan
Field: Medical technology (Instruments)
Classification: CPC G  A | IPC A  G

Claim 2:
3. A computer-implemented method for determining a state from medical images, the method comprising:
providing to a processor a test image dataset from a subject and a library of reference image datasets from subjects, each one of said reference image datasets defining one of a plurality of states related to at least one of disease, function and probability of developing a disease, said library of reference image datasets from subjects representing a number of subjects in each of said plurality of states;
performing registration of said test image dataset and said library of reference image datasets;
selecting a region of interest of said test image dataset and patch dimensions;
for each pixel or voxel of said region in interest of said test image dataset:
defining a test patch of said patch dimensions centered on said pixel or voxel in said region of interest;
for each reference image dataset of said library of reference image datasets:
defining a reference patch of said patch dimensions centered on said pixel or voxel of said reference image dataset;
calculating a similarity value between said test patch and said reference patch;
storing said similarity value for each one of said plurality of states for one of said pixels or voxels of said region of interest of said test image dataset;

determine, for said pixel or voxel in said region of interest of said test image dataset, a weight for each one of said plurality of disease states using said similarity values and the corresponding disease state of said reference image dataset;

evaluating said weight for each one of said plurality of states for all of said pixels or voxels in said region of interest of said test image dataset to determine a likelihood of said plurality of states associated with said test image dataset;
wherein said plurality of states comprise two states, and said evaluating said weight for each one of said plurality of said states comprises using the formula:, g
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wherein said calculating said similarity value comprises calculating:, w
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and g(xi) is a grade of state likelihood, N is a number of subjects in said library of reference image datasets, w is a weight, ps has a first value for one of said states and another value for another of said states, P(xi) is the test patch centered on pixel or voxel xi and xi is the pixel or voxel of interest of the test image, P(xj) is the reference patch centered on pixel or voxel xj, xs,j is a pixel or voxel in a reference image s, Ω is the set of pixels or voxels in the region of interest, and h2 is a smoothing function.