US 11,751,826 B2
Systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and/or disease tracking
James K. Min, Denver, CO (US); James P. Earls, Fairfax Station, VA (US); Hugo Miguel Rodrigues Marques, Lisbon (PT); and Ben Hootnick, New York, NY (US)
Assigned to CLEERLY, INC., Denver, CO (US)
Filed by CLEERLY, INC., Denver, CO (US)
Filed on May 10, 2022, as Appl. No. 17/662,734.
Application 17/662,734 is a continuation of application No. 17/367,549, filed on Jul. 5, 2021, granted, now 11,367,190.
Application 17/367,549 is a continuation of application No. 17/350,836, filed on Jun. 17, 2021.
Application 17/350,836 is a continuation in part of application No. 17/213,966, filed on Mar. 26, 2021, granted, now 11,094,060, issued on Aug. 17, 2021.
Application 17/213,966 is a continuation of application No. 17/142,120, filed on Jan. 5, 2021, granted, now 11,501,436.
Claims priority of provisional application 63/201,142, filed on Apr. 14, 2021.
Claims priority of provisional application 63/142,873, filed on Jan. 28, 2021.
Claims priority of provisional application 63/089,790, filed on Oct. 9, 2020.
Claims priority of provisional application 63/077,058, filed on Sep. 11, 2020.
Claims priority of provisional application 63/077,044, filed on Sep. 11, 2020.
Claims priority of provisional application 63/041,252, filed on Jun. 19, 2020.
Claims priority of provisional application 62/958,032, filed on Jan. 7, 2020.
Prior Publication US 2022/0386979 A1, Dec. 8, 2022
Int. Cl. A61B 6/00 (2006.01); A61B 8/14 (2006.01); A61B 6/03 (2006.01); A61B 5/00 (2006.01); G06T 7/00 (2017.01); A61B 8/12 (2006.01); A61B 5/055 (2006.01); A61K 49/04 (2006.01); A61B 5/02 (2006.01); G06F 18/10 (2023.01); G06V 10/74 (2022.01); G06V 10/764 (2022.01); G06V 10/20 (2022.01); G06V 10/24 (2022.01); G06V 40/14 (2022.01)
CPC A61B 6/481 (2013.01) [A61B 5/0066 (2013.01); A61B 5/0075 (2013.01); A61B 5/02007 (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 6/504 (2013.01); A61B 6/5205 (2013.01); A61B 6/5217 (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 40/14 (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)] 30 Claims
OG exemplary drawing
 
1. A computer-implemented method of tracking efficacy of a treatment for a plaque-based disease based on non-invasive medical image analysis, the method comprising:
accessing, by a computer system, a first set of plaque parameters and a first set of vascular parameters associated with a subject, wherein the first set of plaque parameters and the first set of vascular parameters are derived from a first set of medical images of the subject comprising at least one axial image comprising one or more regions of plaque, wherein the first set of medical images of the subject is obtained non-invasively at a first point in time, wherein the first set of plaque parameters comprises density and volume of one or more regions of plaque derived from the first set of medical images of the subject obtained at the first point in time, and wherein the first set of vascular parameters comprises one or more of vascular volume, diameter, area, length, location, or remodeling derived from the first set of medical images of the subject obtained at the first point in time;
generating, by the computer system, a first characterized region of plaque, wherein generating the first characterized region of plaque comprises characterizing the one or more regions of plaque derived from the first set of medical images of the subject obtained at the first point in time as calcified plaque, non-calcified plaque, or low density non-calcified plaque based on the first set of plaque parameters;
accessing, by the computer system, a second set of medical images of the subject, wherein the second set of medical images of the subject is obtained non-invasively at a second point in time after the subject is treated with a treatment, the second point in time being later than the first point in time, wherein the second set of medical images of the subject comprises at least one axial image comprising the one or more regions of plaque;
identifying, by the computer system, the one or more regions of plaque from the second set of medical images;
determining, by the computer system, a second set of plaque parameters and a second set of vascular parameters associated with the subject by analyzing the one or more regions of plaque identified from the second set of medical images, the second set of plaque parameters determined based at least in part on graphical identification of vessel wall and lumen wall from the second set of medical images, wherein the second set of plaque parameters comprises density and volume of the one or more regions of plaque derived from the second set of medical images of the subject obtained at the second point in time, and wherein the second set of vascular parameters comprises one or more of vascular volume, diameter, area, length, location, or remodeling derived from the second set of medical images of the subject obtained at the second point in time;
generating, by the computer system, a second characterized region of plaque, wherein generating the second characterized region of plaque comprises characterizing the one or more regions of plaque derived from the second set of medical images of the subject obtained at the second point in time as calcified plaque, non-calcified plaque, or low density non-calcified plaque based on the second set of plaque parameters;
analyzing, by the computer system, one or more changes between the first characterized region of plaque and the second characterized region of plaque;
analyzing, by the computer system, one or more changes between the first set of vascular parameters and the second set of vascular parameters; and
generating, by the computer system, a graphical representation of tracking progression of the plaque-based disease based at least in part on the analyzed one or more changes between the first characterized region of plaque and the second characterized region of plaque and the analyzed one or more changes between the first set of vascular parameters and the second set of vascular parameters, wherein the generated graphical representation of tracking progression of the plaque-based disease is configured to be used to determine efficacy of the treatment, wherein the determined efficacy of the treatment is configured to be used to determine whether to change the treatment for the subject;
wherein the computer system comprises a computer processor and an electronic storage medium.