UT-Heart: A Finite Element Model Designed for the Multiscale and Multiphysics Integration of our Knowledge on the Human Heart

Sugiura, Seiryo; Okada, Junichi; Washio, Takumi; Hisada, Toshiaki

doi:10.1007/978-1-0716-1831-8_10

Cited by 13 publications

(14 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…More specifically, Sugiura et al [39] review the essential methodologies for a multiscale and multiphysics heart model using the University of Tokyo whole-heart simulator. However, the electromechanical results are limited to the ventricles, as well as those of related papers using this simulator [48,49]. Fritz et al [40] propose a whole-heart image-based model of the ventricular contraction that considers the interaction with passive atria, pericardium and surrounding organs, demonstrating their impact on the modeling of a physiological heart deformation.…”

Section: Introductionmentioning

confidence: 99%

A comprehensive and biophysically detailed computational model of the whole human heart electromechanics

Fedele¹,

Piersanti²,

Regazzoni³

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

Section: Introductionmentioning

confidence: 99%

A comprehensive and biophysically detailed computational model of the whole human heart electromechanics

Fedele¹,

Piersanti²,

Regazzoni³

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…In this way, heart simulations might also be used for clinical applications besides the scientific purposes. In terms of clinical application, Siguira et al [ 13 ] used UT-Heart models for cardiac resynchronization therapy and surgery for congenital heart disease, while the computational platform for in silico clinical trials (SILICOFCM platform [ 14 ]) has been used for risk prediction of cardiac hypertrophic disease [ 15 , 16 ]. The SILICOFCM platform integrates patient-specific data and allows the testing and optimization of medical treatment to maximize positive therapeutic outcomes.…”

Section: Introductionmentioning

confidence: 99%

Computational Modeling on Drugs Effects for Left Ventricle in Cardiomyopathy Disease

et al. 2023

View full text Add to dashboard Cite

Cardiomyopathy is associated with structural and functional abnormalities of the ventricular myocardium and can be classified in two major groups: hypertrophic (HCM) and dilated (DCM) cardiomyopathy. Computational modeling and drug design approaches can speed up the drug discovery and significantly reduce expenses aiming to improve the treatment of cardiomyopathy. In the SILICOFCM project, a multiscale platform is developed using coupled macro- and microsimulation through finite element (FE) modeling of fluid–structure interactions (FSI) and molecular drug interactions with the cardiac cells. FSI was used for modeling the left ventricle (LV) with a nonlinear material model of the heart wall. Simulations of the drugs’ influence on the electro-mechanics LV coupling were separated in two scenarios, defined by the principal action of specific drugs. We examined the effects of Disopyramide and Dygoxin which modulate Ca2+ transients (first scenario), and Mavacamten and 2-deoxy adenosine triphosphate (dATP) which affect changes of kinetic parameters (second scenario). Changes of pressures, displacements, and velocity distributions, as well as pressure–volume (P-V) loops in the LV models of HCM and DCM patients were presented. Additionally, the results obtained from the SILICOFCM Risk Stratification Tool and PAK software for high-risk HCM patients closely followed the clinical observations. This approach can give much more information on risk prediction of cardiac disease to specific patients and better insight into estimated effects of drug therapy, leading to improved patient monitoring and treatment.

show abstract

“…We have previously developed a 3D, multiscale, multiphysics heart simulator (UT-Heart), 9 which reproduces the propagation of excitation in the heart based on cardiac electrophysiology cell models, and applied this model to the analysis of CRT 10 and arrhythmogenicity screening of drugs. 11,12 In this study, we applied this technology to develop a multi-scale model of the human atrium and tested its ability for the analysis of aATP.…”

Section: Introductionmentioning

confidence: 99%

Transition mechanisms from atrial flutter to atrial fibrillation during anti‐tachycardia pacing therapy

Okada,

Washio,

Sugiura

et al. 2023

Pacing Clinical Electrophis

Self Cite

View full text Add to dashboard Cite

BackgroundAtrial anti‐tachycardia pacing (aATP) has been shown to be effective for the termination of atrial tachyarrhythmias, but its success rate is still not high enough.ObjectiveThe main objective of this study was to investigate the mechanisms of atrial flutter (AFL) termination by aATP and the transition from AFL to atrial fibrillation (AF) during aATP.MethodsWe developed a multi‐scale model of the human atrium based on magnetic resonance images and examined the atrial electrophysiology of AFL during aATP with a ramp protocol.ResultsIn successful cases of aATP, paced excitation entered the excitable gap and collided with the leading edge of the reentrant wave front. Furthermore, the excitation propagating in the opposite direction collided with the trailing edge of the reentrant wave to terminate AFL. The second collision was made possible by the distribution of the wave propagation velocity in the atria. The detailed analysis revealed that the slowing of propagation velocity occurred at the exit of the sub‐Eustachian isthmus, probably due to source‐sink mismatch. During the transition from AFL to AF, the excitation collided with the refractory zone of the preceding wave and broke into multiple wave fronts to induce AF. A similar observation was made for the transition from AF to sinus rhythm. In both cases, the complex anatomy of the atria played an essential role.ConclusionThe complex anatomy of atria plays an essential role in the maintenance of stable AFL and its termination by aATP, which were revealed by the realistic three‐dimensional simulation model.

show abstract

UT-Heart: A Finite Element Model Designed for the Multiscale and Multiphysics Integration of our Knowledge on the Human Heart

Cited by 13 publications

References 36 publications

A comprehensive and biophysically detailed computational model of the whole human heart electromechanics

A comprehensive and biophysically detailed computational model of the whole human heart electromechanics

Computational Modeling on Drugs Effects for Left Ventricle in Cardiomyopathy Disease

Transition mechanisms from atrial flutter to atrial fibrillation during anti‐tachycardia pacing therapy

Contact Info

Product

Resources

About