Patent ID: 11861851
Assignee: KING'S COLLEGE LONDON
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 18:
19. A computer-implemented method for assessing coronary artery disease, the method comprising:
(a) receiving, by one or more processors, angiography image data of a vessel inspection region for a subject, wherein the angiography image data comprises angiography images captured over a sampling time period;
(b) applying, by the one or more processors, the angiography image data to a vessel segmentation machine learning model and generating, using the vessel segmentation machine learning model, two-dimensional (2D) segmented vessel images for the vessel inspection region;
(c) by the one or more processors, generating, from the 2D segmented vessel images, a one-dimensional (1D) segmented vessel tree geometric model of vessels within the vessel inspection region;
(d) applying, by the one or more processors, the angiography images to a fluid dynamics machine learning model and assimilating flow data for the vessel inspection region over the sampling time period;
(e) applying, by the one or more processors, the 1D segmented vessel tree geometric model and the assimilated flow data to a computational fluid dynamics model; and
(f) determining, by the one or more processors, a state of vessel occlusion for one or more of the vessels within the vessel inspection region.