Systems, devices, and methods for non-invasive image-based plaque analysis and risk determination
AssigneeCleerly, Inc.
InventorJames K. Min
Life of this patent
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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 a likelihood of thin-cap fibroatheroma (TCFA) 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 one or more arteries;
- generating, by the computer system, one or more quantified vascular parameters based at least in part on the identified one or more arteries;
- analyzing, by the computer system, the identified one or more arteries to identify one or more regions of plaque based at least in part on density;
- generating, by the computer system, one or more quantified plaque parameters based at least in part on the identified one or more regions of plaque;
- determining, by the computer system, a likelihood of presence of TCFA for the one or more regions of plaque without direct identification of TCFA from the medical image, wherein the likelihood of presence of TCFA is determined by applying a machine learning algorithm to the one or more quantified vascular parameters and the one or more quantified plaque parameters, wherein the machine learning algorithm is trained by a dataset comprising one or more quantified vascular parameters and one or more quantified plaque parameters derived from a plurality of other medical images with known presence or absence of TCFA for a region of plaque,
- wherein the computer system comprises a computer processor and an electronic storage medium.
Dependencies are inferred from the claim text.