Ren Hai-Ping, Yang Hu, Ma Bing-Rong, Chen Sheng-Zu, Wu Wen-Kai
Department of Nuclear Medicine, Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
Biomed Mater Eng. 2003;13(3):187-96.
Structures were obtained from images with morphological characteristics to register with voxel-based method. We applied simple morphological operations to obtain human brain cortex and chose normalized mutual information as similarity measure for the geometric alignment of PET and MR images. Evaluation used nine patients, and the results showed that sub-voxel accuracy was achieved and the registration process was significantly more rapid. Thus this new automated multi-modality registration method is more robust and has high accuracy.
通过具有形态学特征的图像获取结构，以便使用基于体素的方法进行配准。我们应用简单的形态学操作来获取人类大脑皮层，并选择归一化互信息作为PET和MR图像几何对齐的相似性度量。评估使用了9名患者，结果表明实现了亚体素精度，并且配准过程明显更快。因此，这种新的自动多模态配准方法更稳健且具有高精度。
