title: Automatic planning of atrial fibrillation ablation lines using landmark-constrained nonrigid registration.
abstract: Catheter ablation is a common treatment option for drug-refractory atrial fibrillation. In many cases, pulmonary vein isolation is the treatment of choice. With current fluoro overlay methods or electroanatomic mapping systems, it is possible to visualize three-dimensional (3-D) anatomy as well as target ablation lines to provide additional context information. Today, however, these lines need to be set manually before the procedure by the physician, which may interrupt the clinical workflow. As a solution, we present an automatic approach for the planning of ablation target lines. Our method works on surface models extracted from 3-D images. To propose suitable ablation lines, a reference model annotated with reference ablation lines is nonrigidly registered to the model segmented from a new patient's 3-D data. After registration, the reference plan is transferred from the reference anatomy to the individual patient anatomy. Due to the high anatomical variations observed in clinical practice, additional landmark constraints are employed in the registration process to increase the robustness of our approach. We evaluated our method on 43 clinical datasets by benchmarking it against professionally planned ablation lines and achieved an average error over all datasets of [Formula: see text]. A qualitative evaluation of the ablation planning lines matched clinical expectations.
authors.affiliation: Friedrich-Alexander-Universität Erlangen-Nürnberg , Pattern Recognition Lab, Martensstr. 3, Erlangen 91058, Germany.
authors.forename: Martin
authors.initials: M
authors.lastname: Koch
authors.affiliation: Stanford University , Department of Radiology, Stanford, California 94305.
authors.forename: Alexander
authors.initials: A
authors.lastname: Brost
authors.affiliation: Krankenhaus Barmherzige Brüder , Klinik für Herzrhythmusstörungen, Regensburg 93049, Germany.
authors.forename: Felix
authors.initials: F
authors.lastname: Bourier
authors.affiliation: Friedrich-Alexander-Universität Erlangen-Nürnberg , Pattern Recognition Lab, Martensstr. 3, Erlangen 91058, Germany ; Erlangen Graduate School in Advanced Optical Technologies , Erlangen 91052, Germany.
authors.forename: Joachim
authors.initials: J
authors.lastname: Hornegger
authors.affiliation: Siemens AG , Forchheim 91301, Germany.
authors.forename: Norbert
authors.initials: N
authors.lastname: Strobel
keywords: atrial fibrillation; electrophysiology; image-guided procedures; landmark-constrained registration; treatment planning