In the field of medicine, it is useful to generate athree-dimensional (3D) view of human tissue or organ from its serialcross sectional images. This investigation is to carry out the 3Dreconstruction and visualization of the human brain from its serialcross sectional magnetic resonance images (MRIs). The techniquesinvolved are the pre-processing, texture analysis, image segmentation,interpolation, surface fitting and visualization. T1 weighted MRIs ofthe brain of a human male are used to assess the performance. Thetissues which are of interest are the bone, gyrus and lobe. Fractaldimension and entropy are employed as the textural parameters. A noveltechnique of co-matching correspondence finding (CMCF) method isdeveloped for the interpolation. A modified Phong shading is used toprovide a realistic 3D view of the human skull
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