Segmentation of 3D medical image data sets with a combination of region-based initial segmentation and active surfaces

Regina Pohle; Thomas Behlau; Klaus D. Toennies

doi:10.1117/12.480839

15 May 2003 Segmentation of 3D medical image data sets with a combination of region-based initial segmentation and active surfaces

Regina Pohle, Thomas Behlau, Klaus D. Toennies

Author Affiliations +

Proceedings Volume 5032, Medical Imaging 2003: Image Processing; (2003) https://doi.org/10.1117/12.480839
Event: Medical Imaging 2003, 2003, San Diego, California, United States

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.

Citation Download Citation

Regina Pohle, Thomas Behlau, and Klaus D. Toennies "Segmentation of 3D medical image data sets with a combination of region-based initial segmentation and active surfaces", Proc. SPIE 5032, Medical Imaging 2003: Image Processing, (15 May 2003); https://doi.org/10.1117/12.480839

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