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Proceedings Paper

Algorithm for gray/white matter segmentation of MRI brain images
Author(s): Joshua S. Shimony; H. Douglas Morris
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Paper 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 images (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.

Paper Details

Date Published: 23 June 1993
PDF: 6 pages
Proc. SPIE 2035, Mathematical Methods in Medical Imaging II, (23 June 1993); doi: 10.1117/12.146615
Show Author Affiliations
Joshua S. Shimony, Univ. of Illinois/Urbana-Champaign (United States)
H. Douglas Morris, Univ. of Illinois/Urbana-Champaign (United States)

Published in SPIE Proceedings Vol. 2035:
Mathematical Methods in Medical Imaging II
Joseph N. Wilson; David C. Wilson, Editor(s)

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