目的 尝试以基于图像特征的二维图像配准方法,实现PET、MR和CT异机图像之间的精确三维融合.方法 输入PET/CT/MR原始数据后,采用数字化格式转换,设计“9点3面”立体定位法进行配准,在Mimics实时工作站按照信息交互自动融合模式并通过信号叠加技术施行图像融合.结果 以头、胸、腹为实例交叉试验[CT+ MR]、[PET+MR]、[PET+CT]和[PET+ CT+ MR]立体图像的异机融合,生成了同时分辨软硬组织病灶性质和位置的互补影像.结论 在现阶段,此种异机融合方法是对同机成像功用的必要补充.%Objective To attempt a registration approach of 2-dimension (2D) image based on image characteristic, in order to accomplish accurate fusion of 3-dimension (3D) from PET, CT and MR images one by one. Methods Digital format was converted after original data of PET/CT/MR input, cubic oriented scheme of "9-point and 3-plane" for co-registration was designed, and image fusion was implemented at real-time workstation Mimics based on auto-fusing style of information exchanged by signal overlaid technique. Results Cross-modality fusion from cubic images of [CT+MR], [PET+MR], [PET+CT] and [PET+CT+MR] of patients' cranium, chest and abdominal were mutually practiced, complementary images of distinguishing nature and location of lesions between soft and hard tissue were simultaneously created. Conclusion Currently, this sort of multiple modality fusion is an essential complement for the existing function of single modality imaging.
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