DocumentCode
1936809
Title
An Algorithm Based on Girth-location for MR Head Image Segmentation
Author
Wu, Jun ; Tian, Xiaolin
Author_Institution
Fac. of Inf. Technol., Macau Univ. of Sci. & Technol., Macau
Volume
2
fYear
2008
fDate
27-30 May 2008
Firstpage
3
Lastpage
7
Abstract
In this paper, a segmentation algorithm for MR Head image has been proposed based on Girth-Location information. In the new algorithm, the brain structure is segmented by counting the girth of boundary for connective areas with location information. Then the algorithm of region growing has been used to separate the white matter (WM) from gray matter (GM). Experimental results indicated that this new approach has made full usage of the location information and boundary information of MR images. Compared with other algorithms, the new algorithm is characterized by faster, robustness and accurateness.
Keywords
biomedical MRI; brain; image segmentation; medical image processing; MR head image segmentation; MRI; boundary information; brain structure; girth location information; gray matter; segmentation algorithm; white matter; Biomedical engineering; Brain; Clustering algorithms; Image segmentation; Magnetic heads; Magnetic resonance imaging; Path planning; Robustness; Skin; Skull; Girth-Location; Image Segmentation; MR Head Image; connective areas;
fLanguage
English
Publisher
ieee
Conference_Titel
BioMedical Engineering and Informatics, 2008. BMEI 2008. International Conference on
Conference_Location
Sanya
Print_ISBN
978-0-7695-3118-2
Type
conf
DOI
10.1109/BMEI.2008.312
Filename
4549124
Link To Document