A Medical Image Registration Method Based on Weighted Mutual Information

摘要：

In this paper, a weighted mutual information (WMI) is proposed for medical image registration. Conventional information measures, for example Shannons entropy and mutual information(MI), are based on the statistical properties of intensity values of images, and float image and reference image are playing same role when calculating their MI. In fact, because the characteristics and the qualities of registration images are different, the float image and the reference image in registration should have different importance levels and should be treated unequally. In this paper, the WMI-based registration method considers the importance of the float image and the reference image. The experiments of the 2D and 3D rigid registration of clinical brain images show that the WMI-based registration method is much more robust and more accurate than the conventional MI-based registration methods.

关键词： Mutual information medical image registration weighted mutual information

作者: LI Junli CONG Rijuan Jin Linpeng Wei Ping

作者单位: School of Information Science and Engineering Ningbo University Ningbo, China

会议类型: 国际会议

会议名称: The 2nd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2008)(第二届生物信息与生物医学工程国际会议)

会议地点: 上海

会议语种:英文

页码: 2571-2574

在线出版日期: 2008-05-16（万方平台首次上网日期，不代表论文的发表时间）