HEAD: The Human Encephalon Automatic Delimiter

Maribor, Slovenia June 20-June 22

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http://doi.ieeecomputersociety.org/10.1109/CBMS.2007.54

Twentieth IEEE International Symposiu ...

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	Andre G.R. Balan, Agma J.M. Traina, Marcela X. Ribeiro, Paulo M.A. Marques, Caetano Traina-Jr., "HEAD: The Human Encephalon Automatic Delimiter," Computer-Based Medical Systems, IEEE Symposium on, pp. 171-176, Twentieth IEEE International Symposium on Computer-Based Medical Systems (CBMS'07), 2007.

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	@article{ 10.1109/CBMS.2007.54, author = {Andre G.R. Balan and Agma J.M. Traina and Marcela X. Ribeiro and Paulo M.A. Marques and Caetano Traina-Jr.}, title = {HEAD: The Human Encephalon Automatic Delimiter}, journal ={Computer-Based Medical Systems, IEEE Symposium on}, volume = {0}, year = {2007}, issn = {1063-7125}, pages = {171-176}, doi = {http://doi.ieeecomputersociety.org/10.1109/CBMS.2007.54}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Computer-Based Medical Systems, IEEE Symposium on TI - HEAD: The Human Encephalon Automatic Delimiter SN - 1063-7125 SP171 EP176 A1 - Andre G.R. Balan, A1 - Agma J.M. Traina, A1 - Marcela X. Ribeiro, A1 - Paulo M.A. Marques, A1 - Caetano Traina-Jr., PY - 2007 KW - null VL - 0 JA - Computer-Based Medical Systems, IEEE Symposium on ER -

Andre G.R. Balan, University of Sao Paulo at Sao Carlos, Brazil

Agma J.M. Traina, University of Sao Paulo at Sao Carlos, Brazil

Marcela X. Ribeiro, University of Sao Paulo at Sao Carlos, Brazil

Paulo M.A. Marques, University of Sao Paulo at Ribeirao Preto, Brazil

Caetano Traina-Jr., University of Sao Paulo at Sao Carlos, Brazil

In this paper we present HEAD, the Human Encephalon Automatic Delimiter, a new and efficient method for skull-stripping in T1-weighted MRI that combines an unique histogram analysis with binary mathematical morphology. In our experiments we use real images with highly variable noise ratios and intensity non-uniformity. We evaluate our results based on manually generated true masks and the well known Jaccard metric, achieving accuracy close to 99%. We compare our method with the popular Brain Extractor Surface algorithm (BSE), which in the same experiments achieved less than 95% of accuracy.

Citation:

Andre G.R. Balan, Agma J.M. Traina, Marcela X. Ribeiro, Paulo M.A. Marques, Caetano Traina-Jr., "HEAD: The Human Encephalon Automatic Delimiter," cbms, pp.171-176, Twentieth IEEE International Symposium on Computer-Based Medical Systems (CBMS'07), 2007

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