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