High Performance Computer Simulations of Cardiac Electrical Function Based on High Resolution MRI Datasets

Authors:
Michal Plotkowiak;Blanca Rodriguez;Gernot Plank;Jürgen E. Schneider;David Gavaghan;Peter Kohl;Vicente Grau
Affiliations:
LSI Doctoral Training Centre, University of Oxford, UK;Computing Laboratory, University of Oxford, UK;University of Graz, Austria;Department of Cardiovascular Medicine, University of Oxford, UK;LSI Doctoral Training Centre, University of Oxford, UK and Computing Laboratory, University of Oxford, UK;Department of Physiology, Anatomy and Genetics, University of Oxford, UK;Department of Engineering Science and Oxford e-Research Centre, University of Oxford, UK
Venue:
ICCS '08 Proceedings of the 8th international conference on Computational Science, Part I
Year:
2008

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Abstract

In this paper, we present a set of applications that allow performance of electrophysiological simulations on individualized models generated using high-resolution MRI data of rabbit hearts. For this purpose, we propose a pipeline consisting of: extraction of significant structures from the images, generation of meshes, and application of an electrophysiological solver. In order to make it as useful as possible, we impose several requirements on the development of the pipeline. It has to be fast, aiming towards real time in the future. As much as possible, it must use non-commercial, freely available software (mostly open source). In order to verify the methodology, a set of high resolution MRI images of a rabbit heart is investigated and tested; results are presented in this work.