DocumentCode
3050631
Title
A Direct Segmentation Algorithm of Medical Volume Data Based on Fuzzy Transition
Author
Li Xinwu
Author_Institution
Electron. Bus. Dept., Jiangxi Univ. of Finance & Econ., Nanchang
fYear
2007
fDate
6-8 July 2007
Firstpage
864
Lastpage
867
Abstract
3D direct volume segmentation is a nodus and one of research hotspots in 3D medical data field processing. Through the analysis of physical properties of the medical data field, a direct segmentation algorithm of medical volume data based on fuzzy transition is put forward. Firstly, the existence of transitional regions and the feasibility of fuzzy segmentation in the medical data field are demonstrated. Secondly, middle region between-class that is difficult to distinguish is segmented into transitional regions so as to avoid either-or rigid segmentation in common segmentation algorithm. Finally, the experimental results shows that the algorithm not only decreases the segmentation difficulties of medical data field, but also satisfies the non-rigid segmentation requirements for the following rendering and at the same improves the anti-interference capability of segmentation.
Keywords
fuzzy systems; image segmentation; medical image processing; 3D direct volume segmentation; antiinterference capability; direct segmentation algorithm; fuzzy segmentation; fuzzy transition; medical data field; medical volume data; nonrigid segmentation requirements; Algorithm design and analysis; Biomedical imaging; Data mining; Data visualization; Displays; Finance; Forward contracts; Image segmentation; Laboratories; Rendering (computer graphics);
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedical Engineering, 2007. ICBBE 2007. The 1st International Conference on
Conference_Location
Wuhan
Print_ISBN
1-4244-1120-3
Type
conf
DOI
10.1109/ICBBE.2007.225
Filename
4272709
Link To Document