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 :
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