Peripheral nerve enhancement based on multi-scale Hessian matrix

摘要：

To improve the precision of nerve segmentation in CT images, a new comparability function is proposed in this paper to enhance the contrast between nerve structure and other surrounding tissues. It is based on nerves characteristic, i.e. dark tubular structure, and a thorough analysis of the multi-scale Hessian matrix. By comparability function, the gray range of interested nerve structure can be automatically determined, which combines the multiscale Hessian matrix eigenvalues with intensity information of original nerve CT images. The experimental results show that the improved algorithm can not only enhance the continuous nerve of tubular structure, but also clearly reflect its bifurcations and crossovers. It is very important and significant to the computer-aided disease diagnosis of peripheral nervous system.

关键词： peripheral nerve enhancement Hessian matrix

作者: Xiuli Ma Hui Li Xueli Zhou Wanggen Wan

作者单位: School of Communication and Information Engineering, Shanghai University No.149 Yanchang Road, Shanghai, 200072, China

会议类型: 国际会议

会议名称: Third International Conference on Digital Image Processing(ICDIP 2011)(第三届数字图像处理国际会议)

会议地点: 成都

会议语种:英文

页码: 310-314

在线出版日期: 2011-04-15（万方平台首次上网日期，不代表论文的发表时间）