An Algorithm of Nonlinear Interpolation Segmentation Based on Distance Mask Applied to Human Brain 3D Reconstruction

Abstract

In medical sequence slices, ROI (region of interest) in image need to be extracted and to be 3D reconstructed. An algorithm of nonlinear image interpolation segmentation is proposed in this paper. The algorithm is based on the distance mask. It effectively processes the segmentation of human brain image in which the distribution of intensities overlap one another, and can quickly extract ROI. The experiment shows that perfect results can be obtained by using this algorithm. And this algorithm was successfully applied to the medical image 3D visualization system