A fast-marching approach to cardiac electrophysiology simulation for XMR interventional imaging

M Sermesant, Y Coudiere, V Moreau-Villeger, KS Rhode, DL Hill, RS Razavi

Research output: Chapter in Book/Report/Conference proceedingConference paper

27 Citations (Scopus)

Abstract

Cardiac ablation procedures are becoming more routine to treat arrhythmias. The development of electrophysiological models will allow investigation of treatment strategies. However, current models are computationally expensive and often too complex to be adjusted with current clinical data. In this paper, we have proposed a fast algorithm to solve Eikonal-based models on triangular meshes. These models can be used to extract hidden parameters of the cardiac function from clinical data in a very short time, thus could be used during interventions. We propose a first approach to estimate these parameters, and have tested it on synthetic and real data derived using XMR imaging. We demonstrated a qualitative matching between the estimated parameter and XMR data. This novel approach opens up possibilities to directly integrate modelling in the interventional room.
Original languageEnglish
Title of host publicationLECT NOTE COMPUT SCI
PublisherUnknown Publisher
Pages607 - 615
Number of pages9
Volume3750 LNCS
Publication statusPublished - 2005
Event8th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2005) - Palm Springs, United States
Duration: 1 Jan 2005 → …

Publication series

NameLECTURE NOTES IN COMPUTER SCIENCE

Conference

Conference8th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2005)
Country/TerritoryUnited States
CityPalm Springs
Period1/01/2005 → …

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