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Proceedings Paper

A 3D statistical shape model of the pelvic bone for segmentation
Author(s): Hans Lamecker; Martin Seebass; Hans-Christian Hege; Peter Deuflhard
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Paper Abstract

Statistical models of shape are a promising approach for robust and automatic segmentation of medical image data. This work describes the construction of a statistical shape model of the pelvic bone. An interactive approach is proposed for solving the correspondence problem which is able to handle shapes of arbitrary topology, suitable for the genus 3 surface of the pelvic bone. Moreover it allows to specify corresponding anatomical features as boundary constraints to the matching process. The model's capability for segmentation was tested on a set of 23 CT data sets. Quantitative results will be presented, showing that the model is well suited for segmentation purposes.

Paper Details

Date Published: 12 May 2004
PDF: 11 pages
Proc. SPIE 5370, Medical Imaging 2004: Image Processing, (12 May 2004); doi: 10.1117/12.534145
Show Author Affiliations
Hans Lamecker, Zuse Institute Berlin (Germany)
Martin Seebass, Indeed Visual Concepts GmbH (Germany)
Hans-Christian Hege, Zuse Institute Berlin (Germany)
Peter Deuflhard, Zuse Institute Berlin (Germany)

Published in SPIE Proceedings Vol. 5370:
Medical Imaging 2004: Image Processing
J. Michael Fitzpatrick; Milan Sonka, Editor(s)

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