Segmentation of hippocampus in MRI images based on the improved level set
For hippocampus of MRI demonstrating the low contrast, low signal to noise ratio(SNR), boundary discrete, intensity inhomogeneities features, this paper proposed an improved level set model that based on regional and edge information. Refer to the intensity inhomogeneities image, the global image information of external energy item is joined; to optimize the segmentation result, adopt edge information that is extracted by wavelet, which is used as an edge constraint stop item. Experimental results of many times segmentation of the hippocampus of MRI image show that this algorithm can precisely segment intensity inhomogeneities image and improve the segmentation speed, so this algorithm can be applied to the complex structure segmentation, such as the hippocampus.
the hippocampus level set image segmentation intensity inhomogeneities
Shuying Zhao Dan Zhang Xiangman Song Wenjun Tan
College of Information Science and Engineering Northeastern University Shenyang Liaoning, 110819, China
国际会议
杭州
英文
123-126
2011-10-28（万方平台首次上网日期，不代表论文的发表时间）