US 12,144,669 B2
Systems, devices, and methods for non-invasive image-based plaque analysis and risk determination
James K. Min, Denver, CO (US)
Assigned to Cleerly, Inc., Denver, CO (US)
Filed by Cleerly, Inc., Denver, CO (US)
Filed on Feb. 16, 2024, as Appl. No. 18/444,367.
Application 18/444,367 is a continuation of application No. 18/508,098, filed on Nov. 13, 2023.
Application 18/508,098 is a continuation in part of application No. 18/179,921, filed on Mar. 7, 2023.
Claims priority of provisional application 63/478,084, filed on Dec. 30, 2022.
Claims priority of provisional application 63/477,961, filed on Dec. 30, 2022.
Claims priority of provisional application 63/478,076, filed on Dec. 30, 2022.
Claims priority of provisional application 63/477,985, filed on Dec. 30, 2022.
Claims priority of provisional application 63/477,640, filed on Dec. 29, 2022.
Claims priority of provisional application 63/477,638, filed on Dec. 29, 2022.
Claims priority of provisional application 63/477,656, filed on Dec. 29, 2022.
Claims priority of provisional application 63/476,255, filed on Dec. 20, 2022.
Claims priority of provisional application 63/476,245, filed on Dec. 20, 2022.
Claims priority of provisional application 63/476,251, filed on Dec. 20, 2022.
Claims priority of provisional application 63/386,376, filed on Dec. 7, 2022.
Claims priority of provisional application 63/386,297, filed on Dec. 6, 2022.
Claims priority of provisional application 63/385,472, filed on Nov. 30, 2022.
Claims priority of provisional application 63/385,179, filed on Nov. 28, 2022.
Claims priority of provisional application 63/383,904, filed on Nov. 15, 2022.
Claims priority of provisional application 63/383,632, filed on Nov. 14, 2022.
Claims priority of provisional application 63/381,210, filed on Oct. 27, 2022.
Claims priority of provisional application 63/368,293, filed on Jul. 13, 2022.
Claims priority of provisional application 63/365,381, filed on May 26, 2022.
Claims priority of provisional application 63/364,084, filed on May 3, 2022.
Claims priority of provisional application 63/364,078, filed on May 3, 2022.
Claims priority of provisional application 63/362,856, filed on Apr. 12, 2022.
Claims priority of provisional application 63/362,108, filed on Mar. 29, 2022.
Claims priority of provisional application 63/269,136, filed on Mar. 10, 2022.
Prior Publication US 2024/0188917 A1, Jun. 13, 2024
Int. Cl. A61B 6/00 (2024.01); A61B 6/03 (2006.01); A61B 6/50 (2024.01); G06T 7/00 (2017.01); G06T 7/62 (2017.01); G06V 10/22 (2022.01); G06V 10/26 (2022.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01)
CPC A61B 6/5217 (2013.01) [A61B 6/032 (2013.01); A61B 6/503 (2013.01); A61B 6/504 (2013.01); A61B 6/507 (2013.01); A61B 6/5229 (2013.01); G06T 7/0012 (2013.01); G06T 7/62 (2017.01); G06V 10/22 (2022.01); G06V 10/26 (2022.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G06T 2207/10081 (2013.01); G06T 2207/20076 (2013.01); G06T 2207/30048 (2013.01); G06T 2207/30104 (2013.01); G06V 2201/031 (2022.01)] 18 Claims
OG exemplary drawing
 
1. A computer-implemented method of determining presence of ischemia based at least in part on a plurality of variables derived from non-invasive medical image analysis, the method comprising:
accessing, by a computer system, a medical image of a subject, wherein the medical image of the subject is obtained non-invasively;
analyzing, by the computer system, the medical image of the subject to identify a plurality of vessels, the plurality of vessels comprising at least a first vessel;
identifying, by the computer system, one or more lesions in the first vessel;
identifying, by the computer system, one or more regions of plaque within the one or more lesions in the first vessel;
determining, by the computer system using at least in part a first machine learning algorithm, a plurality of variables associated with the one or more lesions in the first vessel and the one or more regions of plaque within the one or more lesions in the first vessel, wherein the plurality of variables comprise stenosis, total plaque volume, non-calcified plaque volume, calcified plaque volume, lesion length, remodeling index, plaque slice percentage, stenosis area percentage, presence of low-density plaque, stenosis diameter percentage, presence of positive remodeling, reference diameter after stenosis, reference diameter before stenosis, vessel length, lumen volume, number of chronic total occlusion (CTO), vessel volume, number of stenosis, and number of mild stenosis; and
applying, by the computer system, a second machine learning algorithm to determine a presence of ischemia in the first vessel based at least in part on the plurality of variables,
wherein the computer system comprises a computer processor and an electronic storage medium.