ANATOMICAL AND FUNCTIONAL ASSESSMENT OF CORONARY ARTERY DISEASE USING MACHINE LEARNING

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United States of America Patent

APP PUB NO 20230368398A1
SERIAL NO

18225363

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Abstract

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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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UNIV MICHIGANMICHIGAN USA

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Assi, Ismael Toledo, US 2 0
Figueroa-Alvarez, Carlos Alberto Ann Arbor, US 5 12
Garikipati, Krishnakumar Ann Arbor, US 4 12
Iyer, Kritika Ann Arbor, US 4 12
Livingston, Elizabeth Renee Ann Arbor, US 4 12
Nadakuditi, Raj Rao Ann Arbor, US 5 12
Nallamothu, Brahmajee Kartik Ann Arbor, US 5 12
Zhang, Haizhou Ann Arbor, US 14 44
Zhou, Yang Ann Arbor, US 354 1463

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