The Potential of Deep Learning to Advance Clinical Applications of Computational Biomechanics

GA Truskey - Bioengineering, 2023 - mdpi.com
When combined with patient information provided by advanced imaging techniques,
computational biomechanics can provide detailed patient-specific information about …

Learning reduced-order models for cardiovascular simulations with graph neural networks

L Pegolotti, MR Pfaller, NL Rubio, K Ding… - Computers in Biology …, 2024 - Elsevier
Reduced-order models based on physics are a popular choice in cardiovascular modeling
due to their efficiency, but they may experience loss in accuracy when working with …

Hemodynamics and Wall Mechanics of Vascular Graft Failure

JM Szafron, EE Heng, J Boyd… - … and Vascular Biology, 2024 - Am Heart Assoc
Blood vessels are subjected to complex biomechanical loads, primarily from pressure-driven
blood flow. Abnormal loading associated with vascular grafts, arising from altered …

lifex-cfd: An open-source computational fluid dynamics solver for cardiovascular applications

PC Africa, I Fumagalli, M Bucelli, A Zingaro… - Computer Physics …, 2024 - Elsevier
Computational fluid dynamics (CFD) is an important tool for the simulation of the
cardiovascular function and dysfunction. Due to the complexity of the anatomy, the …

A comprehensive mathematical model for cardiac perfusion

A Zingaro, C Vergara, L Dede', F Regazzoni… - Scientific Reports, 2023 - nature.com
The aim of this paper is to introduce a new mathematical model that simulates myocardial
blood perfusion that accounts for multiscale and multiphysics features. Our model …

Whole-heart electromechanical simulations using Latent Neural Ordinary Differential Equations

M Salvador, M Strocchi, F Regazzoni… - NPJ Digital …, 2024 - nature.com
Cardiac digital twins provide a physics and physiology informed framework to deliver
personalized medicine. However, high-fidelity multi-scale cardiac models remain a barrier to …

A modular framework for implicit 3D–0D coupling in cardiac mechanics

AL Brown, M Salvador, L Shi, MR Pfaller, Z Hu… - Computer Methods in …, 2024 - Elsevier
In numerical simulations of cardiac mechanics, coupling the heart to a model of the
circulatory system is essential for capturing physiological cardiac behavior. A popular and …

A fluid–solid-growth solver for cardiovascular modeling

EL Schwarz, MR Pfaller, JM Szafron, M Latorre… - Computer Methods in …, 2023 - Elsevier
We implement full, three-dimensional constrained mixture theory for vascular growth and
remodeling into a finite element fluid–structure interaction (FSI) solver. The resulting “fluid …

Non-invasive fractional flow reserve estimation in coronary arteries using angiographic images

H Edrisnia, MH Sarkhosh, B Mohebbi, SE Parhizgar… - Scientific Reports, 2024 - nature.com
Coronary artery disease is the leading global cause of mortality and Fractional Flow
Reserve (FFR) is widely regarded as the gold standard for assessing coronary artery …

[HTML][HTML] 4D Light-sheet imaging and interactive analysis of cardiac contractility in zebrafish larvae

X Zhang, M Almasian, SS Hassan, R Jotheesh… - APL …, 2023 - pubs.aip.org
Despite ongoing efforts in cardiovascular research, the acquisition of high-resolution and
high-speed images for the purpose of assessing cardiac contraction remains challenging …