Modeling cardiac microcirculation for the simulation of coronary flow and 3D myocardial perfusion.

Computational modeling Coronary artery disease Coronary pressure Fractional flow reserve Myocardial blood flow Myocardial perfusion

Journal

Biomechanics and modeling in mechanobiology
ISSN: 1617-7940
Titre abrégé: Biomech Model Mechanobiol
Pays: Germany
ID NLM: 101135325

Informations de publication

Date de publication:
12 Jul 2024
Historique:
received: 04 04 2024
accepted: 01 07 2024
medline: 12 7 2024
pubmed: 12 7 2024
entrez: 12 7 2024
Statut: aheadofprint

Résumé

Accurate modeling of blood dynamics in the coronary microcirculation is a crucial step toward the clinical application of in silico methods for the diagnosis of coronary artery disease. In this work, we present a new mathematical model of microcirculatory hemodynamics accounting for microvasculature compliance and cardiac contraction; we also present its application to a full simulation of hyperemic coronary blood flow and 3D myocardial perfusion in real clinical cases. Microvasculature hemodynamics is modeled with a compliant multi-compartment Darcy formulation, with the new compliance terms depending on the local intramyocardial pressure generated by cardiac contraction. Nonlinear analytical relationships for vessels distensibility are included based on experimental data, and all the parameters of the model are reformulated based on histologically relevant quantities, allowing a deeper model personalization. Phasic flow patterns of high arterial inflow in diastole and venous outflow in systole are obtained, with flow waveforms morphology and pressure distribution along the microcirculation reproduced in accordance with experimental and in vivo measures. Phasic diameter change for arterioles and capillaries is also obtained with relevant differences depending on the depth location. Coronary blood dynamics exhibits a disturbed flow at the systolic onset, while the obtained 3D perfusion maps reproduce the systolic impediment effect and show relevant regional and transmural heterogeneities in myocardial blood flow (MBF). The proposed model successfully reproduces microvasculature hemodynamics over the whole heartbeat and along the entire intramural vessels. Quantification of phasic flow patterns, diameter changes, regional and transmural heterogeneities in MBF represent key steps ahead in the direction of the predictive simulation of cardiac perfusion.

Identifiants

pubmed: 38995488
doi: 10.1007/s10237-024-01873-z
pii: 10.1007/s10237-024-01873-z
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : PNRR Italian Research Funding
ID : Missione 4, DM226/2021

Informations de copyright

© 2024. The Author(s).

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Auteurs

Giovanni Montino Pelagi (G)

LABS, Dipartimento di Chimica, Materiali e Ingegneria Chimica Giulio Natta, Politecnico di Milano, Piazza Leonardo da Vinci 32, Milan, 20133, Italy. giovanni.montino@polimi.it.

Francesco Regazzoni (F)

MOX, Dipartimento di Matematica, Politecnico di Milano, Piazza Leonardo da Vinci 32, Milan, 20133, Italy.

Jacques M Huyghe (JM)

School of Engineering, University of Limerick, Limerick, V94 T9PX, Ireland.
Eindhoven University of Technology, 5600 MB, Eindhoven, The Netherlands.

Andrea Baggiano (A)

Perioperative Cardiology and Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, Via Carlo Parea 4, Milan, 20138, Italy.
Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy.

Marco Alì (M)

Bracco Imaging S.p.A., Via Caduti di Marcinelle 13, Milan, 20134, Italy.
Department of Diagnostic Imaging and Stereotactic Radiosurgery, Centro Diagnostico Italiano S.p.A., Via Saint Bon 20, Milan, 20147, Italy.

Silvia Bertoluzza (S)

IMATI, CNR, Pavia, Italy.

Giovanni Valbusa (G)

Bracco Imaging S.p.A., Via Caduti di Marcinelle 13, Milan, 20134, Italy.

Gianluca Pontone (G)

Perioperative Cardiology and Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, Via Carlo Parea 4, Milan, 20138, Italy.
Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, 20134, Italy.

Christian Vergara (C)

LABS, Dipartimento di Chimica, Materiali e Ingegneria Chimica Giulio Natta, Politecnico di Milano, Piazza Leonardo da Vinci 32, Milan, 20133, Italy.

Classifications MeSH