Research on medical images segmentation algorithm

Author

Yanjun, Peng ; Qingjun, Xue ; Yuanhong, Wang ; Xuefang, Zhou

Author_Institution

Coll. of Inf. Sci. & Eng., Shandong Univ. of Sci. & Technol., Qingdao, China

Volume

3

fYear

2012

fDate

25-27 May 2012

Firstpage

46

Lastpage

49

Abstract

A segmentation algorithm in 3d medical 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.

Keywords

Hessian matrices; biological tissues; eigenvalues and eigenfunctions; image segmentation; medical image processing; 3d medical data; Hessian matrix; boundary model; boundary voexls; eigenvalues; inner voexls; local character structure; medical images segmentation algorithm; outer voexls; single tissue; Biomedical imaging; Computational modeling; Educational institutions; Eigenvalues and eigenfunctions; Equations; Image segmentation; Rendering (computer graphics); boundary model; local character structure; segmentation; voxel;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Automation Engineering (CSAE), 2012 IEEE International Conference on

Conference_Location

Zhangjiajie

Print_ISBN

978-1-4673-0088-9

Type

conf

DOI

10.1109/CSAE.2012.6272905

Filename

6272905