title: A real-time cardiac surface tracking system using Subspace Clustering.
abstract: Catheter based radio frequency ablation of atrial fibrillation requires real-time 3D tracking of cardiac surfaces with sub-millimeter accuracy. To best of our knowledge, there are no commercial or non-commercial systems capable to do so. In this paper, a system for high-accuracy 3D tracking of cardiac surfaces in real-time is proposed and results applied to a real patient dataset are presented. Proposed system uses Subspace Clustering algorithm to identify the potential deformation subspaces for cardiac surfaces during the training phase from pre-operative MRI scan based training set. In Tracking phase, using low-density outer cardiac surface samples, active deformation subspace is identified and complete inner & outer cardiac surfaces are reconstructed in real-time under a least squares formulation.
authors.affiliation: Univ. of Minnesota, USA.
authors.forename: Vimal
authors.initials: V
authors.lastname: Singh
authors.forename: Ahmed H
authors.initials: AH
authors.lastname: Tewfik
authors.forename: B
authors.initials: B
authors.lastname: Gowreesunker
mesh_terms: D000465:Algorithms; D017115:Catheter Ablation / Q000379:methods*; D016000:Cluster Analysis; D003199:Computer Systems; D006352:Heart Ventricles / Q000033:anatomy & histology* / Q000601:surgery*; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D021621:Imaging, Three-Dimensional / Q000379:methods*; D019028:Magnetic Resonance Imaging, Cine / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D025321:Surgery, Computer-Assisted / Q000379:methods*