CPC G06T 7/11 (2017.01) [G06N 3/08 (2013.01); G06N 20/00 (2019.01); G06T 5/002 (2013.01); G06T 5/20 (2013.01); G06T 7/0012 (2013.01); G06T 7/155 (2017.01); G16H 20/00 (2018.01); G16H 30/40 (2018.01); G16H 50/30 (2018.01); G06T 2207/10101 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30101 (2013.01)] | 23 Claims |
1. A non-transitory computer-readable medium storing computer-executable instructions that, when executed, cause a processor to perform operations, comprising:
accessing vascular imaging data for a patient, wherein the vascular imaging data comprises a volume of interest;
pre-processing the vascular imaging data to generate pre-processed vascular imaging data;
providing the pre-processed vascular imaging data to a deep learning model trained to segment a lumen and a vascular plaque;
obtaining segmented vascular imaging data from the deep learning model, wherein the segmented vascular imaging data comprises a segmented lumen and a segmented vascular plaque in the volume of interest;
computing one or more plaque attributes associated with the segmented vascular plaque, wherein the one or more plaque attributes comprise a plaque thickness, a plaque depth, and a plaque arc angle; and
generating a score based on one or more plaque attributes of the segmented vascular plaque, wherein the score is indicative of whether or not the segmented vascular plaque will limit stent expansion.
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