title: Multimodal data integration for computer-aided ablation of atrial fibrillation.
abstract: 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.
authors.affiliation: Department of Electrical Engineering, University of Southern California, Los Angeles, CA 90089-2564, USA.
authors.forename: Jonghye
authors.initials: J
authors.lastname: Woo
authors.forename: Byung-Woo
authors.initials: BW
authors.lastname: Hong
authors.forename: Sunil
authors.initials: S
authors.lastname: Kumar
authors.forename: Indranill
authors.initials: I
authors.lastname: Basu Ray
authors.forename: C-C Jay
authors.initials: CC
authors.lastname: Kuo
mesh_terms: 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*