Left Ventricle Computational Model based on Patients Three-dimensional MRI

Maria Narciso, Ana Isabel Sousa, Fernando Crivellaro, Rui Valente de Almeida, António Ferreira, Pedro Vieira

2020

Abstract

The propagation of electric signal in the heart is bonded to the cardiac muscle (myocardium) geometry and condition. In this regard we aim to build a patient-specific computational model of the myocardium based on noninvasive imaging, with the long-term goal of being used to run simulations in electrophysiology studies. Three-dimensional (3D) Magnetic Resonance Images (MRI) were processed using MATLAB® to build a volumetric mesh which embodies the Left Ventricle (LV) and can later be read by third party applications. This feature was tested with the open source software CHASTE (Cancer, Heart and Soft Tissue Environment) to solve and visualize the propagation of an excitation wave. Furthermore, an algorithm was developed capable of defining the fibre orientation for the resulting mesh, based on the geometry described in literature. This experiment substantiates the expectation that parallel computing simulations of the heart maybe used, in the near future, as a monitoring and diagnostic tool for the assessment of cardiac arrhythmias in clinical practice.

Paper Citation

in Harvard Style

Narciso M., Sousa A., Crivellaro F., Valente de Almeida R., Ferreira A. and Vieira P. (2020). Left Ventricle Computational Model based on Patients Three-dimensional MRI. In Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - Volume 2: BIOIMAGING; ISBN 978-989-758-398-8, SciTePress, pages 156-163. DOI: 10.5220/0008961601560163

in Bibtex Style

@conference{bioimaging20,
author={Maria Narciso and Ana Isabel Sousa and Fernando Crivellaro and Rui Valente de Almeida and António Ferreira and Pedro Vieira},
title={Left Ventricle Computational Model based on Patients Three-dimensional MRI},
booktitle={Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - Volume 2: BIOIMAGING},
year={2020},
pages={156-163},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008961601560163},
isbn={978-989-758-398-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - Volume 2: BIOIMAGING
TI - Left Ventricle Computational Model based on Patients Three-dimensional MRI
SN - 978-989-758-398-8
AU - Narciso M.
AU - Sousa A.
AU - Crivellaro F.
AU - Valente de Almeida R.
AU - Ferreira A.
AU - Vieira P.
PY - 2020
SP - 156
EP - 163
DO - 10.5220/0008961601560163
PB - SciTePress