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Journal of Biomedicine and Biotechnology
Volume 2008, Article ID 681303, 8 pages
Research Article

Multimodal Data Integration for Computer-Aided Ablation of Atrial Fibrillation

1Department of Electrical Engineering, University of Southern California, Los Angeles 90089-2564, CA, USA
2School of Computer Science and Engineering, Chung-Ang University, Seoul 156-756, Korea
3Electrical and Computer Engineering Department, San Diego State University, San Diego 92182, CA, USA
4School of Medicine and Dental Sciences, State University of New York at Buffalo, Buffalo 14214, NY, USA

Received 30 August 2007; Accepted 17 December 2007

Academic Editor: Daniel Howard

Copyright © 2008 Jonghye Woo et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Image-guided percutaneous interventions have successfully replaced invasive surgical methods in some cardiologic practice, where the use of 3D-reconstructed cardiac images, generated by magnetic resonance imaging (MRI) and computed tomography (CT), plays an important role. To conduct computer-aided catheter ablation of atrial fibrillation accurately, multimodal information integration with electroanatomic mapping (EAM) data and MRI/CT images is considered in this work. Specifically, we propose a variational formulation for surface reconstruction and incorporate the prior shape knowledge, which results in a level set method. The proposed method enables simultaneous reconstruction and registration under nonrigid deformation. Promising experimental results show the potential of the proposed approach.