Multiple-network poroelastic model for subject-specific myocardial perfusion simulation

Xingyu Su; Zeyan Li; Xin Yuan; Haimei Wang; Liwei Guo; Duanduan Chen

doi:10.1117/12.3036621

13 July 2024 Multiple-network poroelastic model for subject-specific myocardial perfusion simulation

Xingyu Su, Zeyan Li, Xin Yuan, Haimei Wang, Liwei Guo, Duanduan Chen

Proceedings Volume 13208, Third International Conference on Biomedical and Intelligent Systems (IC-BIS 2024); 132080P (2024) https://doi.org/10.1117/12.3036621
Event: 3rd International Conference on Biomedical and Intelligent Systems (IC-BIS 2024), 2024, Nanchang, China

Abstract

Myocardial hypoperfusion triggers ischemic cascade reactions and ultimately leads to myocardial infarction. Unfortunately, medical imaging alone is not the optimal method for quantitative evaluation, and the accuracy of clinical diagnosis and subsequent treatment is limited by restricted image resolution and vascular scale identification. Numerical simulation of myocardial perfusion is expected to fill the gaps in imaging and quantitative techniques. This study introduces MultipleNetwork Poroelastic Theory (MPET) into the myocardial numerical simulation. A 3D subject-specific model with boundary conditions obtained from multimodal magnetic resonance imaging is constructed, and fluid flow and fluidstructure interaction are solved within the established MPET framework. This model incorporates three fluid components, including arterial blood, arteriole/capillary blood and venous blood. Myocardial blood flow (MBF) is the core output of the model. In this study, a preliminary analysis of the values and distribution of MBF was performed, demonstrating that the numerical results are physiological and could capture the distributional characteristics of myocardial perfusion. The simulation provides some potential insights into understanding the perfusion process from a biomechanical point of view, aiding clinical diagnosis and disease risk assessment.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xingyu Su, Zeyan Li, Xin Yuan, Haimei Wang, Liwei Guo, and Duanduan Chen "Multiple-network poroelastic model for subject-specific myocardial perfusion simulation", Proc. SPIE 13208, Third International Conference on Biomedical and Intelligent Systems (IC-BIS 2024), 132080P (13 July 2024); https://doi.org/10.1117/12.3036621

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KEYWORDS

Myocardium

Blood

Magnetic resonance imaging

Blood circulation

Tissues

Heart

Boundary conditions

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