Institute for Medical Physics, University of Erlangen-Nuremberg, Henkestrasse 91, Erlangen, Germany,
Ann Biomed Eng. 2010 Jul;38(7):2464-72. doi: 10.1007/s10439-010-9981-x. Epub 2010 Mar 5.
Registration of bone structures is a common problem in medical research as well as in clinical applications. Intrasubject rigid 3D monomodality registration of segmented bone structures of CT images and multimodality registration of muMR and segmented muCT bone images were performed with the multiresolution intensity-based technique implemented in ITK. The registration results for binary volumes of interest (VOI) masks and for segmented gray value VOIs were compared. To determine the registration quality, in the monomodality case the sum of squared difference, the sum of absolute differences, and the normalized symmetric difference of binary masks and in the multimodality case Mattes mutual information were applied. The use of binary VOI masks was significantly superior to the use of gray value VOIs.
骨骼结构的配准是医学研究以及临床应用中的一个常见问题。采用 ITK 中实现的基于多分辨率强度的技术，对 CT 图像的分割骨骼结构的单模态内个体刚性 3D 配准和 muMR 和分割 muCT 骨骼图像的多模态配准进行了研究。比较了二进制感兴趣区域（VOI）掩模和分割灰度值 VOI 的配准结果。为了确定配准质量，在单模态情况下，应用了二进制掩模的平方和差、绝对和差和归一化对称差，在多模态情况下应用了 Mattes 互信息。使用二进制 VOI 掩模明显优于使用灰度值 VOI。
