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Proceedings Paper

Local control of speed function in level set segmentation using interactive interface for CT images
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Paper Abstract

Automatic segmentation of specific organ from CT image is one of the most important problems for computer aided diagnosis. Therefore, many automatic segmentation methods have been proposed. However, in these conventional methods, it is necessary to set some empirical parameters by users for supporting the automatic segmentation. It takes, however, much time to obtain the optimum parameters for segmentation. Another problem is that although the optimum value of parameters varies spatially, conventional segmentation methods can give only one value of parameters for whole organ. In this paper, we propose a new segmentation method named hybrid segmentation of CT image based on level set segmentation. A local control parameter which can be controlled by the interactive interface used PHANToM omni is introduced for segmentation of pancreas from three dimensional CT image. It is shown that the proposed method can increase accuracy in less time than hand-written segmentation.

Paper Details

Date Published: 11 March 2008
PDF: 8 pages
Proc. SPIE 6914, Medical Imaging 2008: Image Processing, 69143Z (11 March 2008); doi: 10.1117/12.770736
Show Author Affiliations
Shingo Tate, Chiba Univ. (Japan)
Norimichi Tsumura, Chiba Univ. (Japan)
Toshiya Nakaguchi, Chiba Univ. (Japan)
Yoichi Miyake, Chiba Univ. (Japan)


Published in SPIE Proceedings Vol. 6914:
Medical Imaging 2008: Image Processing
Joseph M. Reinhardt; Josien P. W. Pluim, Editor(s)

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