3-dimensional medical image reconstruction from serial cross sections

In the field of medicine, it is useful to generate a three-dimensional (3D) view of human tissue or organ from its serial cross sectional images. This investigation is to carry out the 3D reconstruction and visualization of the human brain from its serial cross sectional magnetic resonance images (MRIs). The techniques involved are the pre-processing, texture analysis, image segmentation, interpolation, surface fitting and visualization. T1 weighted MRIs of the brain of a human male are used to assess the performance. The tissues which are of interest are the bone, gyrus and lobe. Fractal dimension and entropy are employed as the textural parameters. A novel technique of co-matching correspondence finding (CMCF) method is developed for the interpolation. A modified Phong shading is used to provide a realistic 3D view of the human skull