Estimation of Activation Times in Cardiac Tissue Using Graph Based Methods

The bidomain and monodomain equations are well established as the standard set of equations for the simulation of cardiac electrophysiological behaviour. However, the computational cost of detailed bidomain/monodomain simulations limits their applicability to scenarios in which results are needed in...

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Main Authors: Wallman, M, Smith, N, Rodriguez, B
Format: Journal article
Language:English
Published: 2011
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author Wallman, M
Smith, N
Rodriguez, B
author_facet Wallman, M
Smith, N
Rodriguez, B
author_sort Wallman, M
collection OXFORD
description The bidomain and monodomain equations are well established as the standard set of equations for the simulation of cardiac electrophysiological behaviour. However, the computational cost of detailed bidomain/monodomain simulations limits their applicability to scenarios in which results are needed in real time (e.g. clinical scenarios). In this study, we present a graph based method which relies on point to point path finding to estimate activation times in cardiac tissue with minimal computational costs. Activation times are compared to bidomain simulation results for heterogeneous tissue slabs and an anatomically-based rabbit ventricular model. Differences in activation times between our proposed graph based method and bidomain results are less than 10% of the total activation time and computational performance is orders of magnitude faster with the graph based method. These results suggest that the graph based method could provide a viable alternative to the bidomain formalism for the fast estimation of activation times when the need for fast performance justifies limited loss of accuracy. © 2011 Springer-Verlag Berlin Heidelberg.
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spelling oxford-uuid:b7084503-d0cb-4dfb-b1eb-787f2a1f63312022-03-27T04:45:31ZEstimation of Activation Times in Cardiac Tissue Using Graph Based MethodsJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:b7084503-d0cb-4dfb-b1eb-787f2a1f6331EnglishSymplectic Elements at Oxford2011Wallman, MSmith, NRodriguez, BThe bidomain and monodomain equations are well established as the standard set of equations for the simulation of cardiac electrophysiological behaviour. However, the computational cost of detailed bidomain/monodomain simulations limits their applicability to scenarios in which results are needed in real time (e.g. clinical scenarios). In this study, we present a graph based method which relies on point to point path finding to estimate activation times in cardiac tissue with minimal computational costs. Activation times are compared to bidomain simulation results for heterogeneous tissue slabs and an anatomically-based rabbit ventricular model. Differences in activation times between our proposed graph based method and bidomain results are less than 10% of the total activation time and computational performance is orders of magnitude faster with the graph based method. These results suggest that the graph based method could provide a viable alternative to the bidomain formalism for the fast estimation of activation times when the need for fast performance justifies limited loss of accuracy. © 2011 Springer-Verlag Berlin Heidelberg.
spellingShingle Wallman, M
Smith, N
Rodriguez, B
Estimation of Activation Times in Cardiac Tissue Using Graph Based Methods
title Estimation of Activation Times in Cardiac Tissue Using Graph Based Methods
title_full Estimation of Activation Times in Cardiac Tissue Using Graph Based Methods
title_fullStr Estimation of Activation Times in Cardiac Tissue Using Graph Based Methods
title_full_unstemmed Estimation of Activation Times in Cardiac Tissue Using Graph Based Methods
title_short Estimation of Activation Times in Cardiac Tissue Using Graph Based Methods
title_sort estimation of activation times in cardiac tissue using graph based methods
work_keys_str_mv AT wallmanm estimationofactivationtimesincardiactissueusinggraphbasedmethods
AT smithn estimationofactivationtimesincardiactissueusinggraphbasedmethods
AT rodriguezb estimationofactivationtimesincardiactissueusinggraphbasedmethods