Segmentation Method for Human Hippocampus Image Based on Improved Level Set
YU Guang-ting, Bailin Li, Ling Zou, Huang Qiu-ju · Jisuanji gongcheng · 2013
The contour extraction of hippocampus in human brain MR images has a lot of interference which is caused by its low contrast,fuzzy boundaries,and so on.To solve this problem that the boundary stays at gradient extremal in non-target area when level set segmentation method is applied,in this paper,a method based on improved level set is proposed.It considers the variance information through the whole image,adds wave energy items in the external energy functional of the level set function,and drives the zero level set curve to where gray-scale fluctuation is smaller relative to the hippocampus.Experimental results show that this method can ideally extract the contour of the hippocampus from the MR images with excellent segmentation results and greatly improves the evolution speed.