Study of image processing for MR Diffusion Weighed Image

MR Diffusion Weighed Image(DWI) is one of many functional magnetic resonance imaging(fMRI) techniques, and could provide complicated spatial and structural information about the tissue. Aiming at segmentation MR diffusion weighed image for real-time application with numerical stability constraints and high efficiency, a fast method based on the dual level set algorithm is developed. This approach computes the histograms of four areas which can be used to distinguish the area divided by two curves, and fixed signed tables. The points of the histogram are changed to other clusters and the sign of the points are checked according to the change of the energy. And the improved mean of small neighborhood method is used to optimize the results and get the final edges. Experimental results show that the effectiveness for image enhancement and segmentation with our method is preferable.