CPC A61B 6/504 (2013.01) [A61B 5/0066 (2013.01); A61B 5/0075 (2013.01); A61B 5/055 (2013.01); A61B 5/7267 (2013.01); A61B 5/742 (2013.01); A61B 5/7475 (2013.01); A61B 6/032 (2013.01); A61B 6/037 (2013.01); A61B 6/463 (2013.01); A61B 6/467 (2013.01); A61B 6/481 (2013.01); A61B 6/5205 (2013.01); A61B 8/12 (2013.01); A61B 8/14 (2013.01); A61K 49/04 (2013.01); G06F 18/10 (2023.01); G06T 7/0012 (2013.01); G06V 10/20 (2022.01); G06V 10/245 (2022.01); G06V 10/761 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06T 2207/10081 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/10101 (2013.01); G06T 2207/10132 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30048 (2013.01); G06T 2207/30101 (2013.01); G06V 10/247 (2022.01)] | 19 Claims |
1. A computer-implemented method of determining non-calcified plaque from a medical image of a subject, the method comprising:
accessing, by a computer system, a medical image of a subject, the medical image comprising one or more of a computed tomography (CT) image, magnetic resonance (MR) image, ultrasound image, x-ray image, optical coherence tomography (OCT) image, nuclear medicine image, position-emission tomography (PET) image, single photon emission computed tomography (SPECT) image, or near-field infrared spectroscopy (NIRS) image;
identifying, by the computer system, one or more arteries on the medical image of the subject;
identifying, by the computer system, a first set of pixels or voxels within one or more the arteries on the medical image of the subject, the first set of pixels or voxels comprising a density value within a first predetermined density range;
classifying, by the computer system, the first set of pixels or voxels as a first subset of non-calcified plaque;
identifying, by the computer system, a second set of pixels or voxels within the one or more arteries on the medical image of the subject, the second set of pixels or voxels comprising a density value within a second predetermined density range;
classifying, by the computer system, a subset of the second set of pixels or voxels as a second subset of non-calcified plaque, wherein the subset of the second set of pixels or voxels is classified by determining a heterogeneity index of the second set of pixels or voxels and classifying the subset of the second set of pixels or voxels comprising a heterogeneity index within a heterogeneity index range;
determining, by the computer system, non-calcified plaque from the medical image of the subject by combining the first subset of non-calcified plaque and the second subset of non-calcified plaque; and
generating, by the computer system, an assessment of atherosclerosis for the subject based at least in part on the determined non-calcified plaque,
wherein the computer system comprises a computer processor and an electronic storage medium.
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