題名: CT and PET Registration Based on Mutual Information Using Fast Z-axis Shifting Alignment
作者: Wen-Yao Cheng ( 鄭文堯 ) ;Rong-Chin Lo ( 駱榮欽 ) ;An-Cheng Shiau ( 蕭安成 ) 貢獻者: Institute of Computer, Communication and Control, National Taipei
University of Technology;Dept. Radiation Therapy and Oncology, Shin Kong Memorial Hospital, Taipei, Taiwan
關鍵詞: Mutual Information;CT;PET;Registration;iMSP 日期: 2003-09-13
上傳時間: 2009-12-09T05:25:05Z 出版者: 臺中健康暨管理學院
摘要: In clinical diagnosis, and planning and evaluation of therapy, are often supported by several imaging modalities [16]. Different modalities usually provide complementary information. For example, CT (computed tomography) images provide anatomical information of human body in radiotherapy. PET (positron emission tomography) image provide the activity of metabolism of organs, which helps clinician to realize the biochemistry and physiology of the human body in radiotherapy [15].
Due to the PET image being functional but low-resolution, to segment the geometrical feature from the images is difficult, and the registration process might be failure. Using Mutual Information (MI) [4] of PET and CT images to register both images, clinicians can get more information on focal part. The multi-modality registration of processing provides more information than single-modality.But the computing time to find the maximization of MI is expansive, and maybe falls down the local maximum.To improve the drawback of MI, in the study, we propose an improved algorithm shown as Figure 1. First, we use ideal Mid-Sagittal Plane (iMSP) Algorithm [6] and Z-axis shifting to align CT and PET images in the center position and same slice location in rough. Second, we calculate the MI of different image slices, to find the maximum MI as aligned exactly.
