Segmentation of Knee Joints Based on Improved Multiphase Chan-Vese Model
In this paper, we propose a modified multiphase Chan-Vese model which is applied to the medical image segmentation of knee joints. Firstly, according to the anatomical structures and intensity distributions of knee joints in horizontal section, we present a new energy functional to keep the evolving curves just as the same relative location as the initial ones. This measure corrects the mistakes during segmentation and ensures the veracity of segmentation results. Then another interior energy term is introduced to keep the evolving curves close to the signed distance functions. In this way, re-initialization which is timeconsuming and necessary in traditional Chan-Vese model, is never required and the convergence of segmentations becomes rapidly and smoothly. The implements and results of segmenting knee joints in MRI and CT validate the effectiveness and efficiency of our approach, compared to the original multiphase Chan-Vese model.
medical image segmentation knee joints Chan-Vese model re-initialization
Jianguo Jiang Yanrong Guo Shu Zhan Hong Li
Hefei University of Technology, Hefei, Anhui, 230009, China The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230022, China
国际会议
上海
英文
2440-2444
2008-05-16（万方平台首次上网日期，不代表论文的发表时间）