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Proceedings Paper

Segmentation of CT images using the watershed transformation on graphs with a-priori tissue models
Author(s): Susan Wegner; Ralf Huetter; Helmut Oswald; Eckart Fleck
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Paper Abstract

The combination of the watershed transformation on graphs with a tissue classification is presented. The watershed transformation on graphs results in hierarchical segmentation volumes that differ in region number and size. If an anatomical object corresponds to a region in a segmentation volume it has to be selected, since the region would be merged with the most similar neighbor region in the following volume. Such an object selection can be done using object descriptions. A possible approach is presented in this paper.

Paper Details

Date Published: 21 May 1999
PDF: 9 pages
Proc. SPIE 3661, Medical Imaging 1999: Image Processing, (21 May 1999); doi: 10.1117/12.348490
Show Author Affiliations
Susan Wegner, German Heart Institute Berlin and Charite/Humboldt Univ. of Berlin (Germany)
Ralf Huetter, German Heart Institute Berlin and Charite/Humboldt Univ. of Berlin (Germany)
Helmut Oswald, German Heart Institute Berlin and Charite/Humboldt Univ. of Berlin (Switzerland)
Eckart Fleck, German Heart Institute Berlin and Charite/Humboldt Univ. of Berlin (Germany)


Published in SPIE Proceedings Vol. 3661:
Medical Imaging 1999: Image Processing
Kenneth M. Hanson, Editor(s)

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