Algorithm for gray/white matter segmentation of MRI brain images

Joshua S. Shimony; H. Douglas Morris

doi:10.1117/12.146615

23 June 1993 Algorithm for gray/white matter segmentation of MRI brain images

Joshua S. Shimony, H. Douglas Morris

Proceedings Volume 2035, Mathematical Methods in Medical Imaging II; (1993) https://doi.org/10.1117/12.146615
Event: SPIE's 1993 International Symposium on Optics, Imaging, and Instrumentation, 1993, San Diego, CA, United States

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.

Citation Download Citation

Joshua S. Shimony and H. Douglas Morris "Algorithm for gray/white matter segmentation of MRI brain images", Proc. SPIE 2035, Mathematical Methods in Medical Imaging II, (23 June 1993); https://doi.org/10.1117/12.146615

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