US 12,138,093 B2
Systems and methods for characterizing high risk plaques
James K. Min, Denver, CO (US)
Assigned to Cleerly, Inc., Denver, CO (US)
Filed by CLEERLY, INC., Denver, CO (US)
Filed on Aug. 9, 2023, as Appl. No. 18/446,822.
Application 18/446,822 is a continuation of application No. 18/148,296, filed on Dec. 29, 2022, granted, now 11,751,831.
Application 18/148,296 is a continuation of application No. 17/662,762, filed on May 10, 2022, granted, now 11,759,161.
Application 17/662,762 is a continuation of application No. 17/033,136, filed on Sep. 25, 2020, granted, now 11,350,899, issued on May 3, 2022.
Application 17/033,136 is a continuation of application No. 16/750,278, filed on Jan. 23, 2020, granted, now 10,813,612, issued on Oct. 27, 2020.
Claims priority of provisional application 62/797,024, filed on Jan. 25, 2019.
Prior Publication US 2024/0023918 A1, Jan. 25, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. A61B 6/03 (2006.01); A61B 6/00 (2024.01); A61B 6/50 (2024.01); G06T 7/00 (2017.01)
CPC A61B 6/504 (2013.01) [A61B 6/032 (2013.01); A61B 6/5217 (2013.01); A61B 6/5223 (2013.01); G06T 7/0012 (2013.01); G06T 7/97 (2017.01); G06T 2207/10028 (2013.01); G06T 2207/10072 (2013.01); G06T 2207/30101 (2013.01)] 34 Claims
OG exemplary drawing
 
1. A computer-implemented method for assessing risk of coronary plaque by analyzing radiodensity values of coronary plaque of a subject, the method comprising:
accessing image information for the subject, the image information comprising image data of computed tomography (CT) images obtained along a vessel of the subject, the image data comprising radiodensity values of coronary plaque;
determining, based at least in part on applying a machine learning algorithm to the image information, coronary plaque information of the subject, wherein determining the coronary plaque information comprises:
identifying a lumen wall and a vessel wall;
identifying, based at least in part on the identified lumen wall and vessel wall, a region of coronary plaque in a region of a vessel of the subject;
determining radiodensityvalues of pixels within the identified region of coronary plaque; and
generating, based at least in part on the determined radiodensity values in the identified region of coronary plaque, metrics of coronary plaque comprising quantification of different types of plaque; and
determining whether the region of the vessel is likely to be ischemic based at least in part on one or more of the identified lumen wall and vessel wall, the region of coronary plaque, or the quantified different types of plaque,
wherein the method is performed by one or more computer hardware processors configured to execute computer-executable instructions on a non-transitory computer storage medium.