Abstract
Atrial fibrillation is a wide spread heart arrhythmia that can be treated by catheter ablation. This procedure may involve a planning step which can be performed based on a 3D model of the patient’s left atrium (LA) segmented from a CT or MRI volume. One of the first decisions to make during treatment is whether to use a single-shot device or a radio-frequency catheter. This decision is based on the size of pulmonary vein ostium and the ablation path as defined by ablation lines. Recently a method for automatic annotation of ablation lines was proposed. It is based on the position of the pulmonary (PV) vein ostia of a left atrium. To facilitate a fully automatic approach, we present a novel learning-based method based on mesh skeletonization that automatically detects pulmonary vein ostium positions in a 3D LA model. In our evaluation, we found a success rate of 86% and an average error of 4.3±2.6 mm.
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Hoffmann, M., Koch, M., Strobel, N., Maier, A. (2016). Automatic Detection of Ostia in the Left Atrium. In: Tolxdorff, T., Deserno, T., Handels, H., Meinzer, HP. (eds) Bildverarbeitung für die Medizin 2016. Informatik aktuell. Springer Vieweg, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49465-3_40
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DOI: https://doi.org/10.1007/978-3-662-49465-3_40
Publisher Name: Springer Vieweg, Berlin, Heidelberg
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