Systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and/or disease tracking
The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and/or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and/or dynamically identify one or more features, such as plaque and vessels, and/or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, perform computational fluid dynamics analysis, facilitate assessment of risk of heart disease and coronary artery disease, enhance drug development, determine a CAD risk factor goal, provide atherosclerosis and vascular morphology characterization, and determine indication of myocardial risk, and/or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and/or quantified parameters.
1 . A computer-implemented method of facilitating determination of myocardial risk associated with a specific atherosclerotic lesion via an algorithm-based medical imaging analysis, the method comprising:
accessing, by a computer system, a medical image comprising at least a portion of coronary vasculature of a patient and at least a portion of myocardium of the patient, wherein the portion of coronary vasculature of the patient comprises an atherosclerotic lesion and a non-atherosclerotic region;
performing, by the computer system, atherosclerosis and vascular morphology characterization of the portion of the coronary vasculature of the patient using information extracted from the medical image, wherein the atherosclerosis and vascular morphology characterization comprises identifying a location of the atherosclerotic lesion and the non-atherosclerotic region in the coronary vasculature of the patient;
performing, by the computer system, characterization of the portion of the myocardium of the patient using information extracted from the medical image, wherein characterization of the portion of the myocardium comprises determining an amount of myocardium subtended by each of a plurality of coronary arteries of the coronary vasculature;
correlating, by the computer system, the characterization of the atherosclerosis and vascular morphology of the portion of the coronary vasculature of the patient with the characterization of the portion of the myocardium of the patient;
determining, by the computer system, an amount of myocardium subtended by the atherosclerotic lesion and an amount of myocardium subtended by the non-atherosclerotic region based at least in part on the correlation between the characterization of the atherosclerosis and vascular morphology of the portion of the coronary vasculature of the patient and the characterization of the portion of the myocardium of the patient; and
generating, by the computer system, in a user interface a graphical representation to facilitate determination of myocardial risk associated with the atherosclerotic lesion, the graphical representation comprising:
a first illustration displaying the portion of the coronary vasculature of the patient; and
a second illustration displaying the portion of the myocardium of the patient,
wherein a user selection of the atherosclerotic lesion in the first illustration dynamically causes an update to the second illustration to display the amount of myocardium subtended by the atherosclerotic lesion, and
wherein a user selection of the non-atherosclerotic region within the portion of the coronary vasculature of the patient in the first illustration dynamically causes an update to the second illustration to display the amount of myocardium subtended by the non-atherosclerotic region,
wherein the computer system comprises a computer processor and an electronic storage medium.
2 . The computer-implemented method of claim 1 , further comprising, determining, by the computer system, a likelihood that the atherosclerotic lesion will contribute to a myocardial infarction.
3 . The computer-implemented method of claim 1 , wherein performing the characterization of the myocardium of the patient comprises performing a characterization of the left ventricular myocardium of the patient.
4 . The computer-implemented method of claim 1 , further comprising determining, by the computer system, myocardial risk associated with the atherosclerotic lesion based at least in part on the determined amount of myocardium subtended by the atherosclerotic lesion, wherein the myocardial risk comprises one or more of risk of occurrence of a severe clinical event or expected severity of the severe clinical event, wherein the severe clinical event comprises one or more of ST-elevation myocardial infarction, non-ST elevation myocardial infarction, unstable angina, or stable angina.
5 . The computer-implemented method of claim 4 , further comprising comparing, by the computer system, the determined myocardial risk to a previously determined myocardial risk associated with the atherosclerotic lesion determined at a previous point in time.
6 . The computer-implemented method of claim 1 , wherein the amount of myocardium subtended by the atherosclerotic lesion is determined as a percentage of the myocardium.
7 . The computer-implemented method of claim 1 , wherein the amount of myocardium subtended by the atherosclerotic lesion is determined as myocardial mass subtended by the atherosclerotic lesion.
8 . The computer-implemented method of claim 1 , further comprising determining, by the computer system, myocardial risk associated with the atherosclerotic lesion based at least in part on the determined amount of myocardium subtended by the atherosclerotic lesion.
9 . The computer-implemented method of claim 8 , further comprising determining, by the computer system, an overall risk of myocardial infarction of the patient based at least in part on the determined myocardial risk associated with the atherosclerotic lesion.
10 . The computer-implemented method of claim 1 , wherein the graphical representation further comprises a third illustration displaying a cross-sectional view of the coronary vasculature, wherein the user selection of the atherosclerotic lesion in the first illustration dynamically causes an update to the third illustration to display the cross-sectional view of the atherosclerotic lesion.
11 . The computer-implemented method of claim 1 , further comprising:
determining, by the computer system, an amount of myocardium subtended by another atherosclerotic lesion within the coronary vasculature; and
generating, by the computer system, a comparison of the myocardium subtended by the atherosclerotic lesion and the myocardium subtended by the another atherosclerotic lesion within the coronary vasculature.
12 . A computer-implemented method of facilitating determination of segmental myocardial risk via an algorithm-based medical imaging analysis, the method comprising:
accessing, by a computer system, a medical image comprising at least a portion of coronary vasculature of a patient and at least a portion of myocardium of the patient;
characterizing, by the computer system, vascular morphology of the coronary vasculature of the patient using information extracted from the medical images;
identifying, by the computer system, an atherosclerotic lesion within the coronary vasculature of the patient using information extracted from the medical images;
characterizing, by the computer system, a plurality of segments of the myocardium of the patient to generate segmented myocardial characterization using information extracted from the medical images;
correlating, by the computer system, the characterized vascular morphology of the patient with the segmented myocardial characterization of the patient;
determining, by the computer system, an amount of myocardium subtended by the atherosclerotic lesion based at least in part on the correlation between the characterized vascular morphology and the segmented myocardial characterization of the patient; and
generating, by the computer system, in a user interface a graphical representation to facilitate determination of segmental myocardial risk, the graphical representation comprising:
a first panel illustrating a multiplanar vessel view of the coronary vasculature comprising the atherosclerotic lesion;
a second panel illustrating a cross-sectional view of the one of the coronary vasculature comprising the atherosclerotic lesion; and
a third panel illustrating a view of the myocardium of the patient,
wherein a user selection of the atherosclerotic lesion in the multiplanar view in the first panel dynamically causes display of the cross-sectional view of the atherosclerotic lesion in the second panel, and
wherein the user selection of the atherosclerotic lesion in the multiplanar view in the first panel further dynamically causes display of the amount of myocardium subtended by the atherosclerotic lesion in the third panel,
wherein the computer system comprises a computer processor and an electronic storage medium.
13 . The computer-implemented method of claim 12 , further comprising, determining, by the computer system, segmented myocardial risk associated with the atherosclerotic lesion for at least a subset of the plurality of segments of the myocardium.
14 . The computer-implemented method of claim 12 , further comprising, determining, by the computer system, segmented myocardial risk associated with the atherosclerotic lesion for each of the plurality of segments of the myocardium.
15 . The computer-implemented method of claim 12 , wherein correlating the characterized vascular morphology of the patient with the segmented myocardial characterization of the patient comprises identifying for each of the segments of the myocardium a coronary artery primarily responsible for supplying oxygenated blood to that segment of the myocardium.
16 . The computer-implemented method of claim 12 , wherein the plurality of the segments of the myocardium comprises 17 segments.
17 . The computer-implemented method of claim 12 , wherein the amount of myocardium subtended by the atherosclerotic lesion is determined as a percentage of the myocardium.
18 . The computer-implemented method of claim 12 , wherein the amount of myocardium subtended by the atherosclerotic lesion is determined as myocardial mass subtended by the atherosclerotic lesion.
19 . The computer-implemented method of claim 12 , further comprising determining, by the computer system, myocardial risk associated with the atherosclerotic lesion based at least in part on the determined amount of myocardium subtended by the atherosclerotic lesion.
20 . The computer-implemented method of claim 19 , further comprising determining, by the computer system, an overall risk of myocardial infarction of the patient based at least in part on the determined myocardial risk associated with the atherosclerotic lesion.