公开(公告)号：US11690586B2

公开(公告)日：2023-07-04

申请号：US18149021

申请日：2022-12-30

Applicant: CLEERLY, INC.

Inventor： James K. Min ,  James P. Earls ,  Hugo Miguel Rodrigues Marques ,  Ben Hootnick

IPC: G06K9/00 ,  A61B6/00 ,  A61B8/14 ,  A61B6/03 ,  A61B5/00 ,  G06T7/00 ,  A61B8/12 ,  A61B5/055 ,  A61K49/04 ,  A61B5/02 ,  G06F18/10 ,  G06V10/74 ,  G06V10/764 ,  G06V10/20 ,  G06V10/24 ,  G06V40/14

CPC classification number: A61B6/481 ,  A61B5/0066 ,  A61B5/0075 ,  A61B5/02007 ,  A61B5/055 ,  A61B5/7267 ,  A61B5/742 ,  A61B5/7475 ,  A61B6/032 ,  A61B6/037 ,  A61B6/504 ,  A61B6/5205 ,  A61B6/5217 ,  A61B8/12 ,  A61B8/14 ,  A61K49/04 ,  G06F18/10 ,  G06T7/0012 ,  G06V10/20 ,  G06V10/245 ,  G06V10/761 ,  G06V10/764 ,  G06V40/14 ,  G06T2207/10081 ,  G06T2207/10088 ,  G06T2207/10101 ,  G06T2207/10132 ,  G06T2207/20081 ,  G06T2207/30048 ,  G06T2207/30101 ,  G06V10/247

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, 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.

公开(公告)号：US20220392065A1

公开(公告)日：2022-12-08

申请号：US17820439

申请日：2022-08-17

Applicant: CLEERLY, INC.

Inventor： James K. Min ,  James P. Earls ,  Hugo Miguel Rodrigues Marques ,  Shant Malkasian ,  Ben Hootnick

IPC: G06T7/00 ,  A61B8/14 ,  A61B6/00 ,  A61B6/03 ,  A61B5/00 ,  A61B8/12 ,  G06K9/62 ,  A61B5/055 ,  A61K49/04

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.

公开(公告)号：US11317883B2

公开(公告)日：2022-05-03

申请号：US17461587

申请日：2021-08-30

Applicant: Cleerly, Inc.

Inventor： James K. Min

IPC: A61B6/00 ,  A61B6/03 ,  G06T7/00

Abstract: A method for characterization of coronary plaque tissue data and perivascular tissue data using image data gathered from a computed tomography (CT) scan along a blood vessel, the image information including radiodensity values of coronary plaque and perivascular tissue located adjacent to the coronary plaque, the method comprising quantifying radiodensity in regions of coronary plaque, quantifying, radiodensity in at least one region of corresponding perivascular tissue adjacent to the coronary plaque, determining gradients of the quantified radiodensity values within the coronary plaque and the quantified radiodensity values within the corresponding perivascular tissue, and determining a ratio of the quantified radiodensity values within the coronary plaque and the corresponding perivascular tissue; and characterizing the coronary plaque by analyzing a gradient of the quantified radiodensity values in the coronary plaque and the corresponding perivascular, and/or the ratio of the coronary plaque radiodensity values and the radiodensity values of the corresponding perivascular tissue.

公开(公告)号：US20210366115A1

公开(公告)日：2021-11-25

申请号：US17394222

申请日：2021-08-04

Applicant: CLEERLY, INC.

Inventor： James K. Min ,  James P. Earls ,  Hugo Miguel Rodrigues Marques

IPC: G06T7/00 ,  A61B5/055 ,  A61B6/03 ,  A61B8/14 ,  A61B8/12 ,  A61B5/00 ,  A61B6/00 ,  G06K9/62 ,  A61K49/04

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, 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.

公开(公告)号：US11132796B2

公开(公告)日：2021-09-28

申请号：US17214593

申请日：2021-03-26

Applicant: CLEERLY, INC.

Inventor： James K. Min ,  James P. Earls ,  Hugo Miguel Rodrigues Marques

IPC: G06K9/00 ,  G06T7/00 ,  A61B8/14 ,  A61B6/00 ,  A61B6/03 ,  A61B5/00 ,  A61B8/12 ,  G06K9/62 ,  A61B5/055 ,  A61K49/04

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, 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.

公开(公告)号：US20210186448A1

公开(公告)日：2021-06-24

申请号：US17033136

申请日：2020-09-25

Applicant: Cleerly, Inc.

Inventor： James K. Min

IPC: A61B6/00 ,  A61B6/03 ,  G06T7/00

Abstract: A method for characterization of coronary plaque tissue data and perivascular tissue data using image data gathered from a computed tomography (CT) scan along a blood vessel, the image information including radiodensity values of coronary plaque and perivascular tissue located adjacent to the coronary plaque, the method comprising quantifying radiodensity in regions of coronary plaque, quantifying, radiodensity in at least one region of corresponding perivascular tissue adjacent to the coronary plaque, determining gradients of the quantified radiodensity values within the coronary plaque and the quantified radiodensity values within the corresponding perivascular tissue, and determining a ratio of the quantified radiodensity values within the coronary plaque and the corresponding perivascular tissue; and characterizing the coronary plaque by analyzing a gradient of the quantified radiodensity values in the coronary plaque and the corresponding perivascular, and/or the ratio of the coronary plaque radiodensity values and the radiodensity values of the corresponding perivascular tissue.

公开(公告)号：US20250120664A1

公开(公告)日：2025-04-17

申请号：US18990200

申请日：2024-12-20

Applicant: Cleerly, Inc.

Inventor： James K. Min ,  James P. Earls ,  Hugo Miguel Rodrigues Marques ,  Ben Hootnick

IPC: A61B6/00 ,  A61B5/00 ,  A61B5/02 ,  A61B5/055 ,  A61B6/03 ,  A61B6/50 ,  A61B8/12 ,  A61B8/14 ,  A61K49/04 ,  G06T7/00 ,  G06V10/20 ,  G06V10/24 ,  G06V10/74 ,  G06V10/764 ,  G06V40/14

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, 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.

公开(公告)号：US20250025121A1

公开(公告)日：2025-01-23

申请号：US18669263

申请日：2024-05-20

Applicant: CLEERLY, INC.

Inventor： James K. Min ,  James P. Earls ,  Hugo Miguel Rodrigues Marques

IPC: A61B6/50 ,  A61B5/00 ,  A61B5/055 ,  A61B6/00 ,  A61B6/03 ,  A61B6/46 ,  A61B8/12 ,  A61B8/14 ,  A61K49/04 ,  G06F18/10 ,  G06T7/00 ,  G06V10/20 ,  G06V10/24 ,  G06V10/74 ,  G06V10/764 ,  G06V10/82

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, 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.

公开(公告)号：US12193862B2

公开(公告)日：2025-01-14

申请号：US18612734

申请日：2024-03-21

Applicant: Cleerly, Inc.

Inventor： James K. Min ,  James P. Earls ,  Hugo Miguel Rodrigues Marques ,  Ben Hootnick

IPC: G06V40/14 ,  A61B5/00 ,  A61B5/02 ,  A61B5/055 ,  A61B6/00 ,  A61B6/03 ,  A61B6/50 ,  A61B8/12 ,  A61B8/14 ,  A61K49/04 ,  G06F18/10 ,  G06T7/00 ,  G06V10/20 ,  G06V10/24 ,  G06V10/74 ,  G06V10/764

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, 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.

公开(公告)号：US12144669B2

公开(公告)日：2024-11-19

申请号：US18444367

申请日：2024-02-16

Applicant: Cleerly, Inc.

Inventor： James K. Min

IPC: A61B6/00 ,  A61B6/03 ,  A61B6/50 ,  G06T7/00 ,  G06T7/62 ,  G06V10/22 ,  G06V10/26 ,  G16H30/40 ,  G16H50/20

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.