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Proceedings Paper

Segmentation of 3D medical image data sets with a combination of region-based initial segmentation and active surfaces
Author(s): Regina Pohle; Thomas Behlau; Klaus D. Toennies
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Paper Abstract

Segmentation is an essential step in the analysis of medical images. For segmentation of 3-D data sets in clinical practice segmentation methods are necessary which have a small user interaction time and which are highly flexible. For this purpose we propose a two-step segmentation approach. The first step results in a coarse segmentation using the Image Foresting Transformation. In the second step an active surface creates the final segmentation. Our segmentation method was tested for segmentation on real CT images. The performance was compared with the manual segmentation. We found our work method reliable.

Paper Details

Date Published: 15 May 2003
PDF: 8 pages
Proc. SPIE 5032, Medical Imaging 2003: Image Processing, (15 May 2003); doi: 10.1117/12.480839
Show Author Affiliations
Regina Pohle, Otto-von-Guericke-Univ. Magdeburg (Germany)
Thomas Behlau, Otto-von-Guericke-Univ. Magdeburg (Germany)
Klaus D. Toennies, Otto-von-Guericke-Univ. Magdeburg (Germany)

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

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