Systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and/or disease tracking

Patent metadata

Field	Value
Publication number	US-12555228-B2
Application number	US-202218149014-A
Country	US
Kind code	B2
Filing date	Dec 30, 2022
Priority date	Jan 7, 2020
Publication date	Feb 17, 2026
Grant date	Feb 17, 2026

Abstract

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.

First claim

What is claimed is:

1 . A computer-implemented method for improving accuracy of image-based quantitative coronary artery disease analysis, the method comprising:
accessing, by a computer system, image data of one or more coronary arteries of a patient, wherein the image data comprises multiple phases or series acquired during a cardiac cycle; identifying, by the computer system and based on image segmentation of the image data, the one or more coronary arteries in the image data; determining, by the computer system, an image quality rank for each of the one or more coronary arteries for each of the phases or series of the image data, wherein the image quality rank is determined based at least in part on a gradient of density values of a plurality of pixels adjacent to a vessel wall or lumen wall of each of the one or more coronary arteries; determining, by the computer system, a phase or series of the image data comprising the highest image quality rank for each of the one or more coronary arteries; identifying, by the computer system, one or more anatomical landmarks across the image data of the determined phase or series that comprises the highest image quality rank for each of the one or more coronary arteries; normalizing, by the computer system, the image data of the determined phase or series that comprises the highest image quality rank for each of the one or more coronary arteries based on density values of the one or more anatomical landmarks; generating, by the computer system, an artery-specific image quality-based composite image data by combining the normalized image data of the determined phase or series that comprises the highest image quality rank for each of the one or more coronary arteries; and performing, by the computer system, quantitative coronary artery disease analysis based on the generated artery-specific image quality-based composite image data, wherein the computer system comprises a computer processor and an electronic storage medium.

2 . The computer-implemented method of claim 1 , wherein the quantitative coronary artery disease analysis comprises determination of volume of low-density non-calcified plaque, non-calcified plaque, and calcified plaque.

3 . The computer-implemented method of claim 2 , wherein the quantitative coronary artery disease analysis further comprises determination of plaque progression or regression.

4 . The computer-implemented method of claim 1 , wherein the quantitative coronary artery disease analysis is performed based at least in part on density values of one or more regions of coronary arterial plaque in the generated artery-specific image quality-based composite image data.

5 . The computer-implemented method of claim 4 , wherein the density values of one or more regions of coronary arterial plaque comprise radiodensity.

6 . The computer-implemented method of claim 4 , wherein the density values of one or more regions of coronary arterial plaque comprise material density.

7 . The computer-implemented method of claim 1 , wherein the medical image data is obtained using an imaging technique comprising one or more of computed tomography (CT), x-ray, ultrasound, echocardiography, intravascular ultrasound (IVUS), MR imaging, optical coherence tomography (OCT), nuclear medicine imaging, positron-emission tomography (PET), single photon emission computed tomography (SPECT), or near-field infrared spectroscopy (NIRS).

8 . The computer-implemented method of claim 1 , wherein the density values of the plurality of pixels adjacent to the vessel wall or lumen wall and the density values of the one or more anatomical landmarks comprise radiodensity.

9 . The computer-implemented method of claim 1 , wherein the quantitative coronary artery disease analysis comprises determination of presence or degree of ischemia in one or more coronary arteries.

10 . The computer-implemented method of claim 1 , wherein the quantitative coronary artery disease analysis comprises determination of a coronary artery disease risk stage, the coronary artery disease risk stage comprising a risk assessment based on coronary plaque volume and presence or degree of ischemia.

11 . A system for improving accuracy of image-based quantitative coronary artery disease analysis, the system comprising:
one or more computer readable storage devices configured to store a plurality of computer executable instructions; and one or more hardware computer processors in communication with the one or more computer readable storage devices and configured to execute the plurality of computer executable instructions in order to cause the system to:
access image data of one or more coronary arteries of a patient, wherein the image data comprises multiple phases or series acquired during a cardiac cycle;
identify based on image segmentation of the image data, the one or more coronary arteries in the image data;
determine an image quality rank for each of the one or more coronary arteries for each of the phases or series of the image data, wherein the image quality rank is determined based at least in part on a gradient of density values of a plurality of pixels adjacent to a vessel wall or lumen wall of each of the one or more coronary arteries;
determine a phase or series of the image data comprising the highest image quality rank for each of the one or more coronary arteries;
identify one or more anatomical landmarks across the image data of the determined phase or series that comprises the highest image quality rank for each of the one or more coronary arteries;
normalize the image data of the determined phase or series that comprises the highest image quality rank for each of the one or more coronary arteries based on density values of the one or more anatomical landmarks;
generate an artery-specific image quality-based composite image data by combining the normalized image data of the determined phase or series that comprises the highest image quality rank for each of the one or more coronary arteries; and
perform quantitative coronary artery disease analysis based on the generated artery-specific image quality-based composite image data.

12 . The system of claim 11 , wherein the quantitative coronary artery disease analysis comprises determination of volume of low-density non-calcified plaque, non-calcified plaque, and calcified plaque.

13 . The system of claim 12 , wherein the quantitative coronary artery disease analysis further comprises determination of plaque progression or regression.

14 . The system of claim 11 , wherein the quantitative coronary artery disease analysis is performed based at least in part on density values of one or more regions of coronary arterial plaque in the generated artery-specific image quality-based composite image data.

15 . The system of claim 14 , wherein the density values of one or more regions of coronary arterial plaque comprise radiodensity.

16 . The system of claim 14 , wherein the density values of one or more regions of coronary arterial plaque comprise material density.

17 . The system of claim 11 , wherein the medical image is obtained using an imaging technique comprising one or more of computed tomography (CT), x-ray, ultrasound, echocardiography, intravascular ultrasound (IVUS), MR imaging, optical coherence tomography (OCT), nuclear medicine imaging, positron-emission tomography (PET), single photon emission computed tomography (SPECT), or near-field infrared spectroscopy (NIRS).

18 . The system of claim 11 , wherein the density values of the plurality of

Assignees

• Cleerly Inc

Inventors

• Min James K
• Earls James P
• Rodrigues Marques Hugo Miguel
• Malkasian Shant
• Hootnick Ben

Classifications

• A61K49/04

  X-ray contrast preparations · CPC title

• G06T2207/10132

  Ultrasound image · CPC title

• G06T2207/10088

  Magnetic resonance imaging [MRI] · CPC title

• A61B5/0075

  by spectroscopy, i.e. measuring spectra, e.g. Raman spectroscopy, infrared absorption spectroscopy (A61B5/0071 takes precedence) · CPC title

• G06T2207/20081

  Training; Learning · CPC title