@article{0cb90afd4afd4254a8e7230ad0c931c8,
title = "An algorithm for grey/white matter segmentation of MRI brain images",
abstract = "A segmentation algorithm using both global and local image analysis techniques in combination with anatomical information is proposed to separate grey matter from white matter in 2-dimensional (2D) axial magnetic resonance imaging (MRI) brain images. The global technique used is a variant of the fuzzy c-means (FCM) algorithm. This variant only relies on pixel brightness for its clustering operation. The local techniques include methods of morphological image processing and edge detection. The anatomical information is limited to the expected order of tissue from the scalp on the exterior to the ventricles in the center. The results have proved useful in a study of regional biochemistry of the human brain using spectroscopic MRI.",
author = "Shimony, {J. S.} and Morris, {H. D.}",
note = "Funding Information: We wish to thank P.C. Lauterbur for many helpful discussions and T.L. Huntsberger for introducing us to the use of the fuzzy c-means algorithm in image segmentation. This work was partially supported by the National Science Foundation Science and Technology Center Award NSF DIR 89-20133, the NIH Radiation Oncology training grant T32 CA09067, and the Servants United Foundation. The authors wish to thank the National Center for Supercomputing Applications for their generous computer support. Funding Information: Science and Technology Center Award NSF DIR 89-20133, the NIH Radiation Oncology training grant T32 CA09067, and the Servants United Foundation. The authors wish to thank the National Center for Supercomputing Applications for their generous computer support. Funding Information: segmentation. This work was partially supported by the National Science Foundation Publisher Copyright: {\textcopyright} 1993 SPIE. All rights reserved.; Mathematical Methods in Medical Imaging II 1993 ; Conference date: 11-07-1993 Through 16-07-1993",
year = "1993",
month = jun,
day = "23",
doi = "10.1117/12.146616",
language = "English",
volume = "2035",
pages = "89--94",
journal = "Proceedings of SPIE - The International Society for Optical Engineering",
issn = "0277-786X",
}