DocumentCode :
2358204
Title :
Development of a model of the infarcted canine heart that predicts arrhythmia generation from specific cardiac geometry and scar distribution
Author :
Arevalo, Hj ; Helm, Patrick A. ; Trayanova, Na
Author_Institution :
Johns Hopkins Univ., Baltimore, MD
fYear :
2008
fDate :
14-17 Sept. 2008
Firstpage :
497
Lastpage :
500
Abstract :
The role of the 3D infarct structure in arrhythmia generation and maintenance in hearts with myocardial infarction cannot be fully elucidated through experimental techniques alone. Our aim was to develop methodology to construct a high resolution computational model of the infarcted canine heart using magnetic resonance (MRI) and diffusion tensor images (DTI) and then to use the resulting model to study post-infarction ventricular tachycardia (VT). Segmentation of the MRI and DTI stacks using image processing techniques provided accurate representations of the myocardium, the infarct scar, and the border zone (BZ) surrounding the scar. Realistic electrophysiological properties were assigned to each region. Simulations using the novel model revealed that postinfarction VT is initiated and maintained by reentrant circuits located within the BZ.
Keywords :
bioelectric phenomena; biomedical MRI; cardiology; image representation; image segmentation; medical image processing; 3D infarct structure; arrhythmia generation; diffusion tensor images; electrophysiological properties; image representation; image segmentation; infarct scar distribution; infarcted canine heart; magnetic resonance imaging; myocardial infarction; post-infarction ventricular tachycardia; specific cardiac geometry; Computational modeling; Diffusion tensor imaging; Geometry; Heart; Image resolution; Magnetic resonance; Magnetic resonance imaging; Myocardium; Predictive models; Solid modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computers in Cardiology, 2008
Conference_Location :
Bologna
ISSN :
0276-6547
Print_ISBN :
978-1-4244-3706-1
Type :
conf
DOI :
10.1109/CIC.2008.4749087
Filename :
4749087
Link To Document :
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