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In this study, the white matter, gray matter and the tissues affected by Multiple Sclerosis are segmented semi-automatically from Magnetic Resonance images using programming environments ITK (Insight Registration and Segmentation Toolkit), VTK (Visualization Toolkit) and MeVisLab (Medical Image Processing and Visualization).
Cooccurrence Histogram (COH) is a graphical representation derived from cooccurrence matrix as a form of plot between the joint probability entries of the direction independent matrix, and their percentage frequencies. The advantage of COH representation is that similarities and dissimilarities of different textures can be perceived as all matrix information is visually displayed. Applying COH on...
We propose an objective segmentation method for magnetic resonance (MR) images of the brain using self-mapping characteristics of one-dimensional self-organizing maps (SOM). The proposed method requires no operators to specify the representative points, but can segment tissues (such as cerebrospinal fluid, gray matter and white matter) necessary for brain atrophy diagnosis. Doing clinical image experiments,...
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