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

In: Trends in Biomathematics: Modeling Epidemiological, Neuronal, and Social Dynamics

Author

Listed:
  • Yuri Vassilevski

    (INM RAS
    Sirius University of Science and Technology)

  • Timur Gamilov

    (Sechenov University
    Sirius University of Science and Technology)

  • Alexander Danilov

    (Sechenov University
    Sirius University of Science and Technology)

  • German Kopytov

    (Baltic Federal University
    INM RAS)

  • Sergey Simakov

    (MIPT
    Sirius University of Science and Technology)

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%.

Suggested Citation

  • Yuri Vassilevski & Timur Gamilov & Alexander Danilov & German Kopytov & Sergey Simakov, 2023. "A Web-Based Non-invasive Estimation of Fractional Flow Reserve (FFR): Models, Algorithms, and Application in Diagnostics," Springer Books, in: Rubem P. Mondaini (ed.), Trends in Biomathematics: Modeling Epidemiological, Neuronal, and Social Dynamics, pages 305-316, Springer.
  • Handle: RePEc:spr:sprchp:978-3-031-33050-6_18
    DOI: 10.1007/978-3-031-33050-6_18
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