A Web-Based Non-invasive Estimation of Fractional Flow Reserve (FFR): Models, Algorithms, and Application in Diagnostics

Yuri Vassilevski, Timur Gamilov (), Alexander Danilov, German Kopytov () and Sergey Simakov ()
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Yuri Vassilevski: INM RAS
Timur Gamilov: Sechenov University
Alexander Danilov: Sechenov University
German Kopytov: Baltic Federal University
Sergey Simakov: MIPT

A chapter in Trends in Biomathematics: Modeling Epidemiological, Neuronal, and Social Dynamics, 2023, pp 305-316 from Springer

Abstract: Abstract Fractional flow reserve (FFR) is a golden standard for evaluating hemodynamic importance of coronary stenosis. Computed (virtual) FFR has emerged as an effective computational tool for non-invasive FFR evaluation. In this work we present a new web-based computational technology for non-invasive estimation of FFR based on patient-specific data. This technology provides 3D visualization and a graphical user interface. Developed web application virtual FFR does not need to be installed on a local machine (user’s computer) and requires only a browser to get full access to the application capabilities. Calculations are performed with the help of 1D hemodynamic model. Developed approach was tested on a variety of clinical cases. With proper parameters identification, this technology provided relative deviation of the computed FFR from the invasive FFR measurement around 6%.

Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-33050-6_18

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DOI: 10.1007/978-3-031-33050-6_18

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