Abstract #4971

Hemodynamic Simulation of Coronary Microcirculation using Ferumoxytol-Enhanced MRI Fractional Myocardial Blood Volume Maps

Mostafa Mahmoudi^1,2, Arutyun Pogosyan^1,2, Amirhossein Arzani^3,4, and Kim-Lien Nguyen^1,2

¹Cardiovascular Imaging Research Laboratory, Departments of Medicine, Radiology, and Bioengineering, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States, ²VA Greater Los Angeles Healthcare System, Los Angeles, CA, United States, ³Department of Mechanical Engineering, University of Utah, Salt Lake City, UT, United States, ⁴Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT, United States

Synopsis

Keywords: In Silico, Flow, Perfusion, Myocardium, Ischemia, Blood Volume, Ferumoxytol, T1 mapping

Motivation: Coronary microvascular hemodynamics is vital in ischemic heart disease.

Goal(s): To provide an in silico framework for modeling subject-specific coronary microvascular networks, offering reliable hemodynamic measurements from ferumoxytol-enhanced MRI fractional myocardial blood volume (FE-MRI fMBV) maps.

Approach: FE-MRI fMBV maps were integrated with an adaptive, muti-stage, 1D arterial network generation algorithm, enabling reproducible hemodynamic simulations in subject-specific myocardium.

Results: The synthetic networks showed strong correlation with clinical data (r >0.99) and minimal variability in flow rates and resistance across vessel seeds; whereas, hemodynamic simulations display consistent blood flow and resistance values, supporting its potential application in coronary microvascular disease.

Impact: The proposed framework facilitates non-invasive, patient-specific hemodynamic modeling that is critical to the diagnosis and management of ischemic heart disease (IHD). Its reproducibility, accuracy, and potential adaptability provide a foundation for MRI-based in silico diagnostics to transform personalized cardiovascular care.

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