22 May 2014 Automatic planning of atrial fibrillation ablation lines using landmark-constrained nonrigid registration
Martin W. Koch, Alexander Brost, Felix Bourier, Joachim Hornegger, Norbert K. Strobel
Author Affiliations +
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.
© 2014 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2014/$25.00 © 2014 SPIE
Martin W. Koch, Alexander Brost, Felix Bourier, Joachim Hornegger, and Norbert K. Strobel "Automatic planning of atrial fibrillation ablation lines using landmark-constrained nonrigid registration," Journal of Medical Imaging 1(1), 015002 (22 May 2014). https://doi.org/10.1117/1.JMI.1.1.015002
Published: 22 May 2014
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CITATIONS
Cited by 4 scholarly publications and 2 patents.
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KEYWORDS
Photovoltaics

3D modeling

Process modeling

Atrial fibrillation

3D acquisition

Data modeling

Image registration

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