Related Experiment Video
Updated: Jan 10, 2026
Intravascular Ultrasound Image-Based Finite Element Modeling Approach for Quantifying In Vivo Mechanical Properties of Human Coronary Artery
Published on: December 6, 2024
Multiscale Coronary Arterial Network Generation and Hemodynamics Using Patient-Specific Fractional Myocardial Blood
Mostafa Mahmoudi1,2, Arutyun Pogosyan1, Amirhossein Arzani3,4
1Division of Cardiology, David Geffen School of Medicine at UCLA and VA Greater Los Angeles Healthcare System, Los Angeles, CA 90095, USA.
Insights
This study introduces a novel framework to generate patient-specific coronary microvascular networks from MRI data. This approach enables detailed hemodynamic simulations, offering new insights into ischemic heart disease (IHD) and personalized medicine.
Area of Science:
- Cardiovascular Imaging
- Biomedical Engineering
- Computational Biology
Background:
- Ischemic heart disease (IHD) is a major global health concern, leading to significant mortality.
- Current imaging techniques fail to visualize the intricate myocardial microvasculature, limiting understanding of blood flow dynamics.
- Existing hemodynamic assessments often neglect crucial patient-specific microcirculatory factors.
Purpose of the Study:
- To develop a multiscale framework for synthesizing 1D microvascular networks in the myocardium.
- To generate patient-specific coronary arterial networks from magnetic resonance imaging (MRI) data.
- To perform hemodynamic simulations on these synthetic networks for improved IHD assessment.
Main Methods:
- Utilized ferumoxytol-enhanced MRI and fractional myocardial blood volume (fMBV) maps.
- Employed a modified multistage, adaptive constrained constructive optimization approach to build synthetic arterial networks.
- Conducted hemodynamic simulations and compared morphological parameters with empirical models.
Main Results:
- Generated 126 synthetic arterial networks with strong correlation (r > 0.87) to empirical data and low variability (CoV < 0.01).
- Confirmed robustness and repeatability of network simulations using mixed-effects models and Dynamic Time Warping analysis.
- Successfully reproduced tissue-dependent signatures in an IHD patient, consistent with coronary autoregulation in scar and hypoperfused areas.
Conclusions:
- Established a novel method for patient-specific microvascular network synthesis from MRI data.
- Demonstrated the potential for accurate hemodynamic simulations in personalized cardiovascular medicine.
- Paved the way for enhanced diagnosis and treatment strategies for ischemic heart disease.
Abstract:
Ischemic heart disease (IHD) is the leading cause of death worldwide. Although 90% of the intramyocardial blood volume resides in the microvasculature, clinical imaging methods cannot visualize the microvascular coronary network in vivo, and non-invasive hemodynamic estimates overlook patient-specific microcirculatory contributions. Herein, we present a multiscale framework to extend the epicardial coronary tree and generate 1D microvascular networks in the myocardium based on ferumoxytol-enhanced magnetic resonance coronary imaging and fractional myocardial blood volume (fMBV) maps. Synthetic arterial networks were constructed from MRI data belonging to three swine, four healthy volunteers, and one IHD patient using a modified multistage, adaptive constrained constructive optimization approach. Hemodynamic simulations were performed in synthetic arterial networks. Morphological parameters were compared with empirical models. In 126 arterial networks (n = 6000 terminal segments per subject per seed; six seeds per coronary vessel), the morphometry was strongly correlated with empirical data (r > 0.87), with low variability (CoV < 0.01) across multiple rounds of network simulations. Mixed-effects models and a Dynamic Time Warping analysis confirmed robustness and repeatability. In the IHD patient, simulated arterial networks (n = 15) reproduced tissue-dependent morphological and functional signatures consistent with coronary autoregulation in scar and hypoperfused tissues. The findings establish an early potential for patient-specific microvascular network synthesis and hemodynamic simulations from MRI data.
