Criteria of Loop Iteration Break for Level Set Based Medical Image Segmentation
Medical images have the characteristics of high noise and blurred edges, which makes them difficult to segment using traditional segmentation methods. The level set algorithm, which has been proved effective for medical image segmentation, is restricted in use mainly due to the extremely intensive computation during the iterative contour evolution. The paper proposes some criteria of loop iteration break for the level set algorithm, making it possible to adaptively adjust the number of iterations to the specific characteristics of various medical images, so that the contour evolution can be terminated appropriately. Meanwhile, we change the step length of the iteration according to the previous loop iteration result, making it possible to decrease the number of iterations needed. To decrease the computational workload, we also restrict the iteration to a certain part of the image instead of the whole image.
medical image segmentation level set algorithm criteria of loop iteration step length updating
Jiansheng Chen Ji Luo Chunhua Hu Xue Zeng Cong Xia Yu Ma Hongwei Hao
Dept. of Electronic Engineering, Tsinghua Univ., Beijing, China, 100084 School of Aerospace,Tsinghua Univ., Beijing, China, 100084 Dept. of Biomedical Engineering, Tsinghua Univ., Beijing,China, 100084 Beijing Neurosurgical Institute, China
国际会议
桂林
英文
1-8
2011-11-01（万方平台首次上网日期，不代表论文的发表时间）