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Automatic and robust forearm segmentation using graph cuts


Fürnstahl, P; Fuchs, T; Schweizer, A; Nagy, L; Székely, G; Harders, M (2008). Automatic and robust forearm segmentation using graph cuts. In: IEEE. 5th IEEE International Symposium on Biomedical Imaging: from Nano to Macro, 2008 : ISBI 2008 ; 14-17 May 2008, Paris. Piscataway, NJ, US: IEEE Service Center, 77-80.

Abstract

The segmentation of bones in computed tomography (CT) images is an important step for the simulation of forearm bone motion, since it allows to include patient specific anatomy in a kinematic model. While the identification of the bone diaphysis is straightforward, the segmentation of bone joints with weak, thin, and diffusive boundaries is still a challenge. We propose a graph cut segmentation approach that is particularly suited to robustly segment joints in 3-d CT images. We incorporate knowledge about intensity, bone shape and local structures into a novel energy function. Our presented framework performs a simultaneous segmentation of both forearm bones without any user interaction.

The segmentation of bones in computed tomography (CT) images is an important step for the simulation of forearm bone motion, since it allows to include patient specific anatomy in a kinematic model. While the identification of the bone diaphysis is straightforward, the segmentation of bone joints with weak, thin, and diffusive boundaries is still a challenge. We propose a graph cut segmentation approach that is particularly suited to robustly segment joints in 3-d CT images. We incorporate knowledge about intensity, bone shape and local structures into a novel energy function. Our presented framework performs a simultaneous segmentation of both forearm bones without any user interaction.

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2 citations in Web of Science®
7 citations in Scopus®
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Additional indexing

Item Type:Book Section, refereed, further contribution
Communities & Collections:04 Faculty of Medicine > Balgrist University Hospital, Swiss Spinal Cord Injury Center
Dewey Decimal Classification:610 Medicine & health
Language:English
Date:May 2008
Deposited On:14 Feb 2009 22:17
Last Modified:05 Apr 2016 12:59
Publisher:IEEE Service Center
ISBN:978-1-4244-2002-5
Additional Information:© 2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Publisher DOI:https://doi.org/10.1109/ISBI.2008.4540936
Related URLs:http://www.biomedicalimaging.org/2008/ (Organisation)
Permanent URL: https://doi.org/10.5167/uzh-13241

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