Automatic segmentation of cardiac CTs - personalized atrial models augmented with electrophysiological structures

Authors:
Peter Neher;Hans Barschdorf;Sebastian Dries;Frank M. Weber;Martin W. Krueger;Olaf Dössel;Cristian Lorenz
Affiliations:
Institute of Biomedical Engineering, Karlsruhe Institute of Technology (KIT), Germany and Philips Research Hamburg, Germany;Philips Research Hamburg, Germany;Philips Research Hamburg, Germany;Institute of Biomedical Engineering, Karlsruhe Institute of Technology (KIT), Germany;Institute of Biomedical Engineering, Karlsruhe Institute of Technology (KIT), Germany;Institute of Biomedical Engineering, Karlsruhe Institute of Technology (KIT), Germany;Philips Research Hamburg, Germany
Venue:
FIMH'11 Proceedings of the 6th international conference on Functional imaging and modeling of the heart
Year:
2011

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Abstract

Electrophysiological simulations of the atria could improve diagnosis and treatment of cardiac arrhythmia, like atrial fibrillation or flutter. For this purpose, a precise segmentation of both atria is needed. However, the atrial epicardium and the electrophysiological structures needed for electrophysiological simulations are barely or not at all detectable in CT-images. Therefore, a model based segmentation of only the atrial endocardium was developed as a landmark generator to facilitate the registration of a finite wall thickness model of the right and left atrial myocardium. It further incorporates atlas information about tissue structures relevant for simulation purposes like Bachmann's bundle, terminal crest, sinus node and the pectinate muscles. The correct model based segmentation of the atrial endocardium was achieved with a mean vertex to surface error of 0.53 mm for the left and 0.18 mm for the right atrium respectively. The atlas based myocardium segmentation yields physiologically correct results well suited for electrophysiological simulations.