ArticleNpj imaging2024
Personalized coronary and myocardial blood flow models incorporating CT perfusion imaging and synthetic vascular trees.
Article in Npj imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Hierarchy Aware CT-Driven Constrained Constructive Optimization: A Framework for Coronary Network Generation.Annals of biomedical engineering · 2026Article
- Velocimetry based on multiphase CCTA images for reliable coronary flow velocity quantification across stenosis severities and ischemia detection.Medical physics · 2026Article
- A microstructurally motivated framework to study autoregulation in the coronary circulation.The Journal of physiology · 2026Article
- Digital twins and simulations in transcatheter coronary and structural heart interventions.European heart journal. Digital health · 2026Review
- A multi-compartment homogenized perfusion model for deforming hierarchical vasculature.Biomechanics and modeling in mechanobiology · 2025Article
- Multiscale Coronary Arterial Network Generation and Hemodynamics Using Patient-Specific Fractional Myocardial Blood Volume.Bioengineering (Basel, Switzerland) · 2025Article
- Personalized and uncertainty-aware coronary hemodynamics simulations: From Bayesian estimation to improved multi-fidelity uncertainty quantification.Computer methods and programs in biomedicine · 2025Article
- Multicompartment Darcy Flow Model With Patient-Specific Parameterization: Effect of Heterogeneity and Anisotropy in Porous Parameters.International journal for numerical methods in biomedical engineering · 2025Article
- Cardiac digital twins: a tool to investigate the function and treatment of the diabetic heart.Cardiovascular diabetology · 2025Review
- Rapid model-guided design of organ-scale synthetic vasculature for biomanufacturing.Science (New York, N.Y.) · 2025Article
- svZeroDSolver: A modular package for lumped-parameter cardiovascular simulations.Journal of open source software · 2025Article
- Passive biaxial mechanical properties of sheep myocardium.Frontiers in bioengineering and biotechnology · 2025Article
- Article
- Improved multifidelity Monte Carlo estimators based on normalizing flows and dimensionality reduction techniques.Computer methods in applied mechanics and engineering · 2024Article
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9 authors.
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Abstract
Computational simulations of coronary artery blood flow, using anatomical models based on clinical imaging, are an emerging non-invasive tool for personalized treatment planning. However, current simulations contend with two related challenges - incomplete anatomies in image-based models due to the exclusion of arteries smaller than the imaging resolution, and the lack of personalized flow distributions informed by patient-specific imaging. We introduce a data-enabled, personalized and multi-scale flow simulation framework spanning large coronary arteries to myocardial microvasculature. It includes image-based coronary anatomies combined with synthetic vasculature for arteries below the imaging resolution, myocardial blood flow simulated using Darcy models, and systemic circulation represented as lumped-parameter networks. We propose an optimization-based method to personalize multiscale coronary flow simulations by assimilating clinical CT myocardial perfusion imaging and cardiac function measurements to yield patient-specific flow distributions and model parameters. Using this proof-of-concept study on a cohort of six patients, we reveal substantial differences in flow distributions and clinical diagnosis metrics between the proposed personalized framework and empirical methods based purely on anatomy; these errors cannot be predicted a priori. This suggests virtual treatment planning tools would benefit from increased personalization informed by emerging imaging methods.
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