The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 02, 2024

Filed:

Jul. 08, 2022
Applicants:

The Regents of the University of Michigan, Ann Arbor, MI (US);

King's College London, London, GB;

Inventors:

Carlos Alberto Figueroa-Alvarez, Ann Arbor, MI (US);

Christopher John Arthurs, Newcastle upon Tyne, GB;

Brahmajee Kartik Nallamothu, Ann Arbor, MI (US);

Kritika Iyer, Ann Arbor, MI (US);

Raj Rao Nadakuditi, Ann Arbor, MI (US);

Krishnakumar Garikipati, Ann Arbor, MI (US);

Elizabeth Renee Livingston, Ann Arbor, MI (US);

Assignees:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); G06T 7/215 (2017.01); G06T 7/277 (2017.01); G06N 3/084 (2023.01); G06T 5/00 (2006.01);
U.S. Cl.
CPC ...
G06T 7/215 (2017.01); G06N 3/084 (2013.01); G06T 5/002 (2013.01); G06T 7/277 (2017.01); G06T 2207/10072 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30104 (2013.01);
Abstract

Anatomical and functional assessment of coronary artery disease (CAD) using machine learning and computational modeling techniques deploying methodologies for non-invasive Fractional Flow Reserve (FFR) quantification based on angiographically derived anatomy and hemodynamics data, relying on machine learning algorithms for image segmentation and flow assessment, and relying on accurate physics-based computational fluid dynamics (CFD) simulation for computation of the FFR.


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