@MASTERSTHESIS\{IMM2001-0766,
    author       = "S. Wolff",
    title        = "Computer aided analysis of {MR} brain images",
    year         = "2001",
    keywords     = "Magnetic Resonance, Cortical Dysplasia, Gradient Correlation Algorithm, Voxel Images, Visualization",
    school       = "Informatics and Mathematical Modelling, Technical University of Denmark, {DTU}",
    address      = "Richard Petersens Plads, Building 321, {DK-}2800 Kgs. Lyngby",
    type         = "",
    url          = "http://www2.compute.dtu.dk/pubdb/pubs/766-full.html",
    abstract     = "The object of the work reported here is to provide a clinical expert (a radiologist) with an algorithmic tool that will assist in the detection of the first two of these. The algorithm analyzes {3D} data sets, obtained as luminance level values representing the output from {MR} scans of the human brain. The data is organized as a voxel image, with a geometry representing a straightforward discretization of that of the brain under study. The only information available as to the category of a given voxel (gray matter, white matter, cerebro-spinal fluid, vascular tissue or background) is that of the luminance level. An automated segregation will suppress precisely the information sought by the present algorithm, while (time-consuming) human intervention would be tantamount to a solution of the problem addressed. The algorithms are developed with this limitation observed throughout."
}