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Twentieth IEEE International Symposium on Computer-Based Medical Systems (CBMS'07) (2007)
Maribor, Slovenia
June 20, 2007 to June 22, 2007
ISSN: 1063-7125
ISBN: 0-7695-2905-4
pp: 171-176
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
ABSTRACT
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.
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CITATION

P. M. Marques, A. J. Traina, M. X. Ribeiro, A. G. Balan and C. Traina-Jr., "HEAD: The Human Encephalon Automatic Delimiter," Twentieth IEEE International Symposium on Computer-Based Medical Systems (CBMS'07)(CBMS), Maribor, Slovenia, 2007, pp. 171-176.
doi:10.1109/CBMS.2007.54
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