3-D Interpolation of Medical Images Based on the Optimal Cubic Convolution Kernel

摘要：

The cubic convolution interpolation is usually employed to 3-D interpolation of medical images. In the paper, the interpolation principle of cubic convolution is analyzed systematically, and essential relationship among the different cubic convolution interpolation methods is formulated. Based on these, a 3-D interpolation method of medical images that is based on the optimal parameter of sharp control (PSC) is presented. The approach makes full use of the local characteristic of medical volume data, and the local optimal PSC is obtained by the iterative computation, and then the volume data is interpolated using the cubic convolution under this parameter in one time. The experimental results show the method presented in the paper not only can improve the interpolation accuracy effectively, but also is robust.

作者: Yun TIAN Yi WANG Chongyang HAO Shihao CHEN

作者单位: Institute of Electronic and Information Engineering,Northwestern Polytechnical University,Xian 710072.China

会议类型: 国际会议

会议名称: 2nd IEEE Conference on Industrial Electronics and Applications(ICIEA 2007)(第二届IEEE工业电子与应用国际会议)

会议地点: 哈尔滨

会议语种:英文

在线出版日期: 2007-05-23（万方平台首次上网日期，不代表论文的发表时间）