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.
|Number of pages||6|
|Journal||Proceedings of SPIE - The International Society for Optical Engineering|
|State||Published - Jun 23 1993|
|Event||Mathematical Methods in Medical Imaging II 1993 - San Diego, United States|
Duration: Jul 11 1993 → Jul 16 1993