AuthorsR. S. Campos, R. M. Amorim, B. L. de Oliveira, J. Sundnes, L. P. d. S. Barra, M. Lobosco and R. W. d. Santos
EditorsV. Malyshkin
Title3D Heart Modeling With Cellular Automata, Mass-Spring System and CUDA
Afilliation, , Scientific Computing
Project(s)Center for Biomedical Computing (SFF)
StatusPublished
Publication TypeProceedings, refereed
Year of Publication2013
Conference NameParallel computing technologies
Volume7979
Pagination296-309
PublisherSpringer
Abstract

The mechanical behavior of the heart is guided by the propagation of an electrical wave, called action potential. Many diseases have multiple effects on both electrical and mechanical cardiac physiology. To support a better understanding of the multi-scale and multi-physics processes involved in physiological and pathological cardiac conditions, a lot of work has been done in developing computational tools to simulate the electro-mechanical behavior of the heart. In this work, we implemented an aplication to mimic the heart tissue behavior, based on cellular automaton, mass-spring system and parallel computing with CUDA. Our application performed 3D simulations in a very short time. In order to assess the simulation results, we compared them with another synthetic model based on well-known partial differential equations(PDE). Preliminary results suggest our application was able to reproduce the PDE results with much less computational effort.

Citation KeySimula.simula.2708