Left ventricle computational model based on patients three-dimensional MRI

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1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationBIOIMAGING 2020 - 7th International Conference on Bioimaging, Proceedings; Part of 13th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2020
EditorsFilipe Soares, Ana Fred, Hugo Gamboa
PublisherSciTePress - Science and Technology Publications
Pages156-163
Number of pages8
ISBN (Electronic)9789897583988
Publication statusPublished - 2020
Event7th International Conference on Bioimaging, BIOIMAGING 2020 - Part of 13th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2020 - Valletta, Malta
Duration: 24 Feb 202026 Feb 2020

Conference

Conference7th International Conference on Bioimaging, BIOIMAGING 2020 - Part of 13th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2020
Country/TerritoryMalta
CityValletta
Period24/02/2026/02/20

Keywords

  • Arrhythmia
  • Cardiac electrophysiology
  • CHASTE
  • Heart computational model
  • MATLAB
  • Parallel simulation
  • Virtual heart

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