An Algorithm Based on Girth-location for MR Head Image Segmentation

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	Similar Articles Articles by Jun Wu Articles by Xiaolin Tian

2008 International Conference on BioMedical Engineering and Informatics

May 27-May 30

ISBN: 978-0-7695-3118-2

	ASCII Text	x
	Jun Wu, Xiaolin Tian, "An Algorithm Based on Girth-location for MR Head Image Segmentation," BioMedical Engineering and Informatics, International Conference on, vol. 2, pp. 3-7, 2008 International Conference on BioMedical Engineering and Informatics, 2008.

	BibTex	x
	@article{ 10.1109/BMEI.2008.312, author = {Jun Wu and Xiaolin Tian}, title = {An Algorithm Based on Girth-location for MR Head Image Segmentation}, journal ={BioMedical Engineering and Informatics, International Conference on}, volume = {2}, year = {2008}, isbn = {978-0-7695-3118-2}, pages = {3-7}, doi = {http://doi.ieeecomputersociety.org/10.1109/BMEI.2008.312}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - BioMedical Engineering and Informatics, International Conference on TI - An Algorithm Based on Girth-location for MR Head Image Segmentation SN - 978-0-7695-3118-2 SP3 EP7 A1 - Jun Wu, A1 - Xiaolin Tian, PY - 2008 KW - Image Segmentation KW - Girth-Location KW - connective areas KW - MR Head Image VL - 2 JA - BioMedical Engineering and Informatics, International Conference on ER -

Jun Wu

Xiaolin Tian

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/BMEI.2008.312

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.

Index Terms:

Image Segmentation, Girth-Location, connective areas, MR Head Image

Citation:

Jun Wu, Xiaolin Tian, "An Algorithm Based on Girth-location for MR Head Image Segmentation," bmei, vol. 2, pp.3-7, 2008 International Conference on BioMedical Engineering and Informatics, 2008

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