Multimodal data integration for computer-aided ablation of atrial fibrillation.
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.
Woo
Jonghye
J
Department of Electrical Engineering, University of Southern California, Los Angeles, CA 90089-2564, USA.
Hong
Byung-Woo
BW
Kumar
Sunil
S
Basu Ray
Indranill
I
Kuo
C-C Jay
CC
D000465:Algorithms; D001185:Artificial Intelligence; D001281:Atrial Fibrillation / Q000175:diagnosis* / Q000601:surgery*; D018780:Body Surface Potential Mapping / Q000379:methods*; D017115:Catheter Ablation / Q000379:methods*; D020000:Decision Support Systems, Clinical; D003952:Diagnostic Imaging / Q000379:methods*; D006801:Humans; D018511:Systems Integration; D013813:Therapy, Computer-Assisted / Q000379:methods*