DocumentCode :
846397
Title :
Model-Based Imaging of Cardiac Apparent Conductivity and Local Conduction Velocity for Diagnosis and Planning of Therapy
Author :
Chinchapatnam, Phani ; Rhode, Kawal S. ; Ginks, Matthew ; Rinaldi, C. Aldo ; Lambiase, Pier ; Razavi, Reza ; Arridge, Simon ; Sermesant, Maxime
Author_Institution :
Centre for Med. Image Comput., Univ. Coll. London, London
Volume :
27
Issue :
11
fYear :
2008
Firstpage :
1631
Lastpage :
1642
Abstract :
We present an adaptive algorithm which uses a fast electrophysiological (EP) model to estimate apparent electrical conductivity and local conduction velocity from noncontact mapping of the endocardial surface potential. Development of such functional imaging revealing hidden parameters of the heart can be instrumental for improved diagnosis and planning of therapy for cardiac arrhythmia and heart failure, for example during procedures such as radio-frequency ablation and cardiac resynchronisation therapy. The proposed model is validated on synthetic data and applied to clinical data derived using hybrid X-ray/magnetic resonance imaging. We demonstrate a qualitative match between the estimated conductivity parameter and pathology locations in the human left ventricle. We also present a proof of concept for an electrophysiological model which utilizes the estimated apparent conductivity parameter to simulate the effect of pacing different ventricular sites. This approach opens up possibilities to directly integrate modelling in the cardiac EP laboratory.
Keywords :
bioelectric potentials; biomedical MRI; cardiology; diagnostic radiography; diseases; parameter estimation; adaptive algorithm; cardiac apparent conductivity; cardiac arrhythmia diagnosis; cardiac resynchronisation therapy; electrophysiological model; endocardial surface potential; functional imaging; heart failure; human left ventricle; hybrid X-ray-magnetic resonance imaging; local conduction velocity; model-based imaging; noncontact mapping; radio-frequency ablation; therapy planning; Adaptive algorithm; Conductivity; Heart; Instruments; Magnetic resonance imaging; Medical treatment; Parameter estimation; Pathology; Radio frequency; X-ray imaging; Cardiac conductivity imaging; conduction velocity; eikonal models; electrophysiology; parameter estimation; Body Surface Potential Mapping; Bundle-Branch Block; Electric Conductivity; Electrocardiography; Electrophysiologic Techniques, Cardiac; Endocardium; Heart Conduction System; Humans; Magnetic Resonance Imaging; Mathematical Computing; Membrane Potentials; Models, Cardiovascular; Myocardial Ischemia;
fLanguage :
English
Journal_Title :
Medical Imaging, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0062
Type :
jour
DOI :
10.1109/TMI.2008.2004644
Filename :
4608725
Link To Document :
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