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Proceedings Paper

Model-based 3D segmentation of the bones of the ankle and subtalar joints in MR images
Author(s): Jiamin Liu; Jayaram K. Udupa; Punam K. Saha; Dewey Odhner; Bruce Elliot Hirsch; Sorin Siegler
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Paper Abstract

Our ongoing project on the kinematic analysis of the joints of the foot and ankle via magnetic resonance (MR) imaging requires segmentation of bones in images acquired at different positions of the joint. This segmentation requires an extensive amount of operator time, especially for the current study involving 300 scenes and 4 bones to be segmented in each scene. A 3D model-based segmentation approach is developed wherein the model is generated from the segmentation of a specific bone from one scene and is used for segmenting the same bone in all other scenes. This method works in two sequential steps. In the first step, the patient- and bone-specific model is generated by segmenting the target bone from one scene using the live wire method. In the second step, the segmentation of the same bone for the same patient in a scene corresponding to another ankle position is obtained by finding an optimum rigid body transformation to minimize its fitting energy. The fitting energy utilized captures both boundary- and region-based information in a unified manner. This method has produced satisfactory results for the 30 pairs of images used for evaluation. The model-based segmentation method will significantly reduce the operator time required by our ongoing study.

Paper Details

Date Published: 15 May 2003
PDF: 8 pages
Proc. SPIE 5032, Medical Imaging 2003: Image Processing, (15 May 2003); doi: 10.1117/12.483574
Show Author Affiliations
Jiamin Liu, Univ. of Pennsylvania (United States)
Jayaram K. Udupa, Univ. of Pennsylvania (United States)
Punam K. Saha, Univ. of Pennsylvania (United States)
Dewey Odhner, Univ. of Pennsylvania (United States)
Bruce Elliot Hirsch, Drexel Univ. (United States)
Sorin Siegler, Drexel Univ. (United States)

Published in SPIE Proceedings Vol. 5032:
Medical Imaging 2003: Image Processing
Milan Sonka; J. Michael Fitzpatrick, Editor(s)

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