An integrated computational workflow for myocardial perfusion combining the multiple-network poroelastic theory and subject-specific imaging data

TY - JOUR

T1 - An integrated computational workflow for myocardial perfusion combining the multiple-network poroelastic theory and subject-specific imaging data

AU - Su, Xingyu

AU - Li, Zeyan

AU - Yuan, Xin

AU - Yang, Yuting

AU - Guo, Liwei

AU - Chen, Duanduan

N1 - Publisher Copyright: © 2026 Author(s).

PY - 2026/1/1

Y1 - 2026/1/1

N2 - Microvascular dysfunction plays an early and potentially independent role in coronary artery disease, yet remains difficult to assess due to limitations in current imaging resolutions and diagnostic tools. To address this gap, we present an integrated computational workflow for subject-specific myocardial perfusion modeling based on the multiple-network poroelastic theory (MPET). The myocardium is represented as a poroelastic medium containing three interacting fluid networks: arterial, arteriole/capillary, and venous, to capture the multiscale dynamics of myocardial perfusion. Specifically, the workflow integrates realistic left ventricular morphology and physiologically informed coronary inflow patterns derived from routine magnetic resonance (MR) imaging into the MPET framework. Sensitivity analysis guided parameter calibration to ensure physiological relevance of the myocardial perfusion model. The simulation results showed that the model reproduced physiologically realistic myocardial blood flow patterns and transmural perfusion gradients, in agreement with clinical MR perfusion imaging. Notably, the model demonstrated sensitivity to myocardial wall thickness, highlighting its potential for assessing structural–functional relationships.

AB - Microvascular dysfunction plays an early and potentially independent role in coronary artery disease, yet remains difficult to assess due to limitations in current imaging resolutions and diagnostic tools. To address this gap, we present an integrated computational workflow for subject-specific myocardial perfusion modeling based on the multiple-network poroelastic theory (MPET). The myocardium is represented as a poroelastic medium containing three interacting fluid networks: arterial, arteriole/capillary, and venous, to capture the multiscale dynamics of myocardial perfusion. Specifically, the workflow integrates realistic left ventricular morphology and physiologically informed coronary inflow patterns derived from routine magnetic resonance (MR) imaging into the MPET framework. Sensitivity analysis guided parameter calibration to ensure physiological relevance of the myocardial perfusion model. The simulation results showed that the model reproduced physiologically realistic myocardial blood flow patterns and transmural perfusion gradients, in agreement with clinical MR perfusion imaging. Notably, the model demonstrated sensitivity to myocardial wall thickness, highlighting its potential for assessing structural–functional relationships.

UR - https://www.scopus.com/pages/publications/105028289243

U2 - 10.1063/5.0300204

DO - 10.1063/5.0300204

M3 - Article

AN - SCOPUS:105028289243

SN - 1070-6631

VL - 38

JO - Physics of Fluids

JF - Physics of Fluids

IS - 1

M1 - 011911

ER -