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. Show more
Publication status
publishedExternal links
Book title
2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to MacroPages / Article No.
Publisher
IEEEEvent
Subject
forearm; segmentation; bone; graph cutOrganisational unit
03633 - Székely, Gábor (emeritus)
03659 - Buhmann, Joachim M. / Buhmann, Joachim M.
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ETH Bibliography
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