An improved method of MRI segmentation based on variational level set

Intensity inhomogeneity is a thorny problem in MRI segmentation. In order to solve this problem, an improved method of MRI segmentation is proposed in this paper. The polarity information is introduced to solve the problem and an energy penalty term is introduced to make sure that the level set function keep approaching the symbol distance function. In the method of this paper, the problem of image segmentation is attributed to a problem of minimum of the energy function with local polar information. The improved symbol distance function is built firstly. Then, the final segmentation result is got through solving the minimum value of the energy function by variational level set. Proved by lots of experiments, this method is very efficient.