Fractional-Order Windkessel Boundary Conditions in a One-Dimensional Blood Flow Model for Fractional Flow Reserve (FFR) Estimation

Author:

Gamilov Timur1234ORCID,Yanbarisov Ruslan345ORCID

Affiliation:

1. World-Class Research Center Digital Biodesign and Personalized Healthcare, Sechenov First Moscow State Medical University, 119991 Moscow, Russia

2. Department of Computational Physics, Moscow Institute of Physics and Technology, 141701 Dolgoprudny, Russia

3. Marchuk Institute of Numerical Mathematics of the Russian Academy of Sciences, 119991 Moscow, Russia

4. Information Technology and Artificial Intelligence Center, Sirius University of Science and Technology, 354340 Sochi, Russia

5. Institute of Computer Sciences and Mathematical Modeling, Sechenov First Moscow State Medical University, 119992 Moscow, Russia

Abstract

Recent studies have demonstrated the benefits of using fractional derivatives to simulate a blood pressure profile. In this work we propose to combine a one-dimensional model of coronary blood flow with fractional-order Windkessel boundary conditions. This allows us to obtain a greater variety of blood pressure profiles for better model personalization An algorithm of parameter identification is described, which is used to fit the measured mean value of arterial pressure and estimate the fractional flow reserve (FFR) for a given patient. The proposed framework is used to investigate sensitivity of mean blood pressure and fractional flow reserve to fractional order. We demonstrate that the fractional derivative order significantly affects the fractional flow reserve (FFR), which is used as an indicator of stenosis significance.

Funder

Russian Science Foundation

Publisher

MDPI AG

Subject

Statistics and Probability,Statistical and Nonlinear Physics,Analysis

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. One-dimensional haemodynamic model of a vascular network with fractional-order viscoelasticity;Russian Journal of Numerical Analysis and Mathematical Modelling;2023-10-01

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