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Texture-based segmentation for automatic surface reconstruction

: Busch, C.

Sakas, G.; Hildebrand, A.; Kim, M.H.; Höhne, K.H. ; Korea Medical Image Processing Study Group; Univ. Hamburg, Institut für Mathematik und Computerwissenschaft in der Medizin -IMDM-; Fraunhofer-Institut für Graphische Datenverarbeitung -IGD-, Darmstadt:
The second Germany-Korea Joint Conference on Advanced Medical Image Processing 1997
Darmstadt; Hamburg, 1997
Germany-Korea Joint Conference on Advanced Medical Image Processing <2, 1997, Darmstadt/Hamburg>
Conference Paper
Fraunhofer IGD ()
3D-visualisation; color-coded morphological operation; color-coded morphology; surface reconstruction; texture analysis; tomographic data

This paper reports a segmentation pipeline for automatic analysis of multi-modal tomographic images. It aims as a computer based support at the localization of pathological tissue such as brain tumors. The segmentation pipeline includes texture analysis, classification with Kohonen Feature Map and knowledge based morphological postprocessing. Furthermore the paper sketches a statistical investigation of different texture discrimination methods such as the wavelet transform. Segmentation results that have been reached with this pipeline are used for surface reconstruction and 3D-visualisation of pathological tissue.