HEAD: The Human Encephalon Automatic Delimiter

Authors:
Andre G. R. Balan;Agma J. M. Traina;Marcela X. Ribeiro;Paulo M. A. Marques;Caetano Traina-Jr.
Affiliations:
University of Sao Paulo at Sao Carlos, Brazil;University of Sao Paulo at Sao Carlos, Brazil;University of Sao Paulo at Sao Carlos, Brazil;University of Sao Paulo at Ribeirao Preto, Brazil;University of Sao Paulo at Sao Carlos, Brazil
Venue:
CBMS '07 Proceedings of the Twentieth IEEE International Symposium on Computer-Based Medical Systems
Year:
2007

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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.