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Proceedings Paper

A new tissue segmentation algorithm in 3D data based on boundary model and local character structure
Author(s): Yan-jun Peng; Yuan-hong Wang; Jiao-ying Shi
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Paper Abstract

Tissue segmentation in 3d data is an important technology in medical visualization, image segmentation and virtual endoscopy. It is difficulty to automatically and accurately implement tissue segmentation in 3d data because of its complexity. A semi-automatic tissue segmentation algorithm in 3d data is proposed based on boundary model and local character structure in this paper. We found out inner voexls and outer voexls by pre-appointed voxel based on boundary model. And then, boundary voexls are correctly classified into different tissues by their eigenvalues of Hessian matrix based on the local character structure. Only eigenvalues of the boundary voxels are computed, so little time is used compared with other algorithms based on local character structure. It can quickly and effectively realize the segmentation of single tissue.

Paper Details

Date Published: 4 November 2005
PDF: 6 pages
Proc. SPIE 6044, MIPPR 2005: Image Analysis Techniques, 60441J (4 November 2005); doi: 10.1117/12.655222
Show Author Affiliations
Yan-jun Peng, Zhejiang Univ. (China)
Shandong Univ. of Science & Technology (China)
Yuan-hong Wang, Shandong Univ. of Science & Technology (China)
Jiao-ying Shi, Zhejiang Univ. (China)


Published in SPIE Proceedings Vol. 6044:
MIPPR 2005: Image Analysis Techniques
Deren Li; Hongchao Ma, Editor(s)

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