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- 저자 : Kouhei Harada (검색결과 2 건)
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Optimal registration method based on ICP algorithm from head CT and MR image sets
Kouhei Harada,Hyoungseop Kim,Joo Kooi Tan,Seiji Ishikawa,Akiyoshi Yamamoto 제어로봇시스템학회 2008 제어로봇시스템학회 국제학술대회 논문집 Vol.2008 No.10
Image registration is an important problem and a fundamental task for understanding the internal organ or internal structure of human body, analyzing the temporal change from the image sets which is obtained different time series in computer vision and image processing field. Especially, CT and MR imaging of the head for diagnosis and surgical planning indicate that physicians and surgeons gain important 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 images manually. However, manual registration of the object area may require several hours for analysis based on anatomical knowledge. In this paper, to register two images which are obtained from different modalities we develop a new method for automatic registration of the head CT and MR images by using ICP (iterative closest point) algorithm in several extracted data and maximization of mutual information. One of the benefits of using the ICP algorithm is that computational costs can be reduced on the registration. The primary objective of this study is to increase the registration accuracy and reduce the computational processing time. The technique was applied to five real image sets which are obtained from the two different modalities and the satisfactory results are obtained. Some experimental results are shown with discussion.
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Method of measuring the parameter of object’s orientation using optical flow
Kouhei Takarabe,Teruo Yamaguchi,Hiroshi Harada 제어로봇시스템학회 2010 제어로봇시스템학회 국제학술대회 논문집 Vol.2010 No.10
In this paper, we propose a method of measuring the orientation of observed objects as a parametric model. The orientation is represented as angle of observed objects. We suppose that optical flow obtained from image have component of not only component of translational velocity but also revolution, scaling, and orientation. To estimate these components, it is necessary to construct nonlinear simultaneous equations from optical flow measured at some observed points on the observed object. We sought to solve this nonlinear simultaneous equations by using Newton method. Components of orientation are obtained by solving nonlinear simultaneous equations.
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