Share Email Print

Journal of Medical Imaging

Automatic planning of atrial fibrillation ablation lines using landmark-constrained nonrigid registration
Author(s): Martin W. Koch; Alexander Brost; Felix Bourier; Joachim Hornegger; Norbert K. Strobel
Format Member Price Non-Member Price
PDF $20.00 $25.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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 2.7±2.0  mm . A qualitative evaluation of the ablation planning lines matched clinical expectations.

Paper Details

Date Published: 22 May 2014
PDF: 7 pages
J. Med. Imag. 1(1) 015002 doi: 10.1117/1.JMI.1.1.015002
Published in: Journal of Medical Imaging Volume 1, Issue 1
Show Author Affiliations
Martin W. Koch, Friedrich-Alexander-Univ. Erlangen-Nürnberg (Germany)
Alexander Brost, Stanford Univ. (United States)
Felix Bourier, Krankenhaus Barmherzige Brüder (Germany)
Joachim Hornegger, Friedrich-Alexander-Univ. Erlangen-Nürnberg (Germany)
Norbert K. Strobel, Siemens AG (Germany)

© SPIE. Terms of Use
Back to Top