@article{oai:kyutech.repo.nii.ac.jp:00005680,
 author = {Yamamura, Yutaro and Kim, Hyungseop and 金, 亨燮 and Tan, Joo kooi and タン, ジュークイ and 石川, 聖二 and Ishikawa, Seiji and Yamamoto, Akiyoshi},
 issue = {11},
 journal = {International Journal of Innovative Computing, Information and Control},
 month = {Nov},
 note = {Image registration is an important problem and a fundamental task in com-puter vision and image processing field. Recently, many image registration techniques are introduced such as PET with CT image and abnormalities can be easily detected by using image information. One of the multi modal images, CT and MR imaging of the head for diagnosis and surgical planning indicates that physicians and surgeons gain impor- tant information from these modalities. In radiotherapy planning, manual registration techniques are performed on MR and CT images of the brain. In general, physicians segment the volumes of interest (VOIs) from each set of slices on the MR and CT im- ages manually. However, manual registration of the object may require several hours for analysis based on anatomical knowledge. In this paper, we describes a new method for automatic registration of head images which is obtained CT and MRI by using an optimal retrieval on neighbor VOIs in several extracted data and maximization of mutual information. In the experimental results, we can reduce the computational times. The primary objective of this study is to increase accuracy of the registration and reduce the computational processing time.},
 pages = {4249--4254},
 title = {An Image Registration Method for Head CT and MR Imaging Based on Optimal Retrieval},
 volume = {5},
 year = {2009},
 yomi = {イシカワ, セイジ}
}