Systems, devices, and methods for non-invasive image-based plaque analysis and risk determination
AssigneeCleerly, Inc.
InventorJames K. Min
Life of this patent
Estimating the term…
Abstract
Various embodiments described herein relate to systems, devices, and methods for non-invasive image-based plaque analysis and risk determination. In particular, in some embodiments, the systems, devices, and methods described herein are related to analysis of one or more regions of plaque, such as for example coronary plaque, using non-invasively obtained images that can be analyzed using computer vision or machine learning to identify, diagnose, characterize, treat and/or track coronary artery disease.
Claims20
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 a first vessel and a second vessel;
- identifying, by the computer system, one or more lesions in the first vessel and one or more lesions in the second vessel;
- identifying, by the computer system, one or more regions of plaque within the one or more lesions in the first vessel and the one or more lesions in the second vessel;
- analyzing, by the computer system, the one or more lesions in the first vessel, the one or more lesions in the second vessel, the one or more regions of plaque within 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 second vessel to determine a plurality of variables for each of the one or more lesions in the first vessel and the one or more lesions in the second vessel;
- and
- applying, by the computer system, a machine learning algorithm to determine a presence of ischemia in the first vessel based at least in part on the plurality of variables determined for the one or more lesions in the first vessel and the plurality of variables determined for the one or more lesions in the second vessel,
- wherein the computer system comprises a computer processor and an electronic storage medium.
A computer-implemented method of determining presence of vessel-specific 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 a first vessel and a second vessel;
- identifying, by the computer system, one or more territories in the first vessel and one or more territories in the second vessel;
- identifying, by the computer system, one or more regions of plaque within the one or more territories in the first vessel and one or more regions of plaque within the one or more territories in the second vessel;
- analyzing, by the computer system, the one or more territories in the first vessel, the one or more territories in the second vessel, the one or more regions of plaque within the one or more territories in the first vessel, and the one or more regions of plaque within the one or more territories in the second vessel to determine a plurality of variables for each of the one or more territories in the first vessel and the one or more territories in the second vessel;
- and
- applying, by the computer system, a machine learning algorithm to determine a presence of ischemia in the first vessel based at least in part on the plurality of variables determined for the one or more territories in the first vessel and the plurality of variables determined for the one or more territories in the second vessel,
- wherein the computer system comprises a computer processor and an electronic storage medium.
Dependencies are inferred from the claim text.