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2015 | OriginalPaper | Chapter

Fully-Coupled Electromechanical Simulations of the LV Dog Anatomy Using HPC: Model Testing and Verification

Authors : Jazmin Aguado-Sierra, Alfonso Santiago, Matias I. Rivero, Mariña López-Yunta, David Soto-Iglesias, Lydia Dux-Santoy, Oscar Camara, Mariano Vazquez

Published in: Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges

Publisher: Springer International Publishing

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Verification of electro-mechanic models of the heart require a good amount of reliable, high resolution, thorough in-vivo measurements. The detail of the mathematical models used to create simulations of the heart beat vary greatly. Generally, the objective of the simulation determines the modeling approach. However, it is important to exactly quantify the amount of error between the various approaches that can be used to simulate a heart beat by comparing them to ground truth data. The more detailed the model is, the more computing power it requires, we therefore employ a high-performance computing solver throughout this study. We aim to compare models to data measured experimentally to identify the effect of using a mathematical model of fibre orientation versus the measured fibre orientations using DT-MRI. We also use simultaneous endocardial stimuli vs an instantaneous myocardial stimulation to trigger the mechanic contraction. Our results show that synchronisation of the electrical and mechanical events in the heart beat are necessary to create a physiological timing of hemodynamic events. Synchronous activation of all of the myocardium provides an unrealistic timing of hemodynamic events in the cardiac cycle. Results also show the need of establishing a protocol to quantify the zero-pressure configuration of the left ventricular geometry to initiate the simulation protocol; however, the predicted zero-pressure configuration of the same geometry was different, depending on the origin of the fibre field employed.

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Metadata
Title
Fully-Coupled Electromechanical Simulations of the LV Dog Anatomy Using HPC: Model Testing and Verification
Authors
Jazmin Aguado-Sierra
Alfonso Santiago
Matias I. Rivero
Mariña López-Yunta
David Soto-Iglesias
Lydia Dux-Santoy
Oscar Camara
Mariano Vazquez
Copyright Year
2015
DOI
https://doi.org/10.1007/978-3-319-14678-2_12

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