Combined model-based segmentation and elastic registration for accurate quantification of the aortic arch.

Med Image Comput Comput Assist Interv

Dept. Bioinformatics and Functional Genomics, Biomedical Computer Vision Group, University of Heidelberg, BIOQUANT, IPMB, and DKFZ Heidelberg.

Published: November 2010

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Article Abstract

Accurate quantification of the morphology of vessels is important for diagnosis and treatment of cardiovascular diseases. We introduce a new approach for the quantification of the aortic arch morphology that combines 3D model-based segmentation with elastic image registration. The performance of the approach has been evaluated using 3D synthetic images and clinically relevant 3D CTA images including pathologies. We also performed a comparison with a previous approach.

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http://dx.doi.org/10.1007/978-3-642-15705-9_54DOI Listing

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