Fast Linear Registration of 3D Objects Segmented from Medical Images

摘要：

In this paper a linear registration framework is used for medical image registration using segmented binary objects. The method is best suited for problems where the segmentation is available, but we also propose a general bone segmentation approach for CT images. We focus on the case when the objects to be registered differ considerably because of segmentation errors. We check the applicability of the method to bone segmentation of pelvic and thoracic CT images. Comparison is also made against a classical mutual information-based registration method.

作者: Attila Tanacs Zoltan Kato

作者单位: Department of Image Processing and Computer Graphics University of Szeged, Hungary

会议类型: 国际会议

会议名称: 2011 4th International Conference on Biomedical Engineering and Informatics(第四届生物医学工程与信息学国际会议 BMEI 2011)

会议地点: 上海

会议语种:英文

页码: 294-298

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）