2007 IEEE International Conference on Granular Computing (GRC 2007) Fuzzy-ASM Based Automated Skull Stripping Method from Infantile Brain MR Images San Jose, California November 02-November 04 ISBN: 0-7695-3032-X
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/GrC.2007.63
Automated stripping of skulls from infantile brain MR Images is the fundamental work to visualize cerebral surface and to measure cerebral volumes. They are important to evaluate cerebral diseases because most cerebral diseases cause morphometric changes in cerebrum. This study proposes a novel image segmentation method based on fuzzy rule-based active surface model. The proposed method was validated by applying it to two neonatal (3W and 4W) and six infantile (5W to 4Y2M) subjects. The mean sensitivity was 98.84 %, and false-positive rate was 1.21 %, and the cerebral surface was visualized well.
Citation:
Syoji Kobashi, Yuko Fujimoto, Masayo Ogawa, Kumiko Ando, Reiichi Ishikura, Katsuya Kondo, Shozo Hirota, Yutaka Hata, "Fuzzy-ASM Based Automated Skull Stripping Method from Infantile Brain MR Images," grc, pp.632, 2007 IEEE International Conference on Granular Computing (GRC 2007), 2007 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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