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Multi-modality MEdical Image Registration based on Moment Information and Surface Distance  

최유주 (이화여자대학교 컴퓨터학과)
김민정 (이화여자대학교 컴퓨터학)
박지영 (이화여자대학교 컴퓨터학)
윤현주 (이화여자대학교 컴퓨터그래픽스연구센)
정명진 (삼성전자 소프트웨어센)
홍승봉 (성균관대학교 의과대학, 삼성서울병원 신경)
김명희 (이화여자대학교 컴퓨터학과)
Publication Information
Journal of KIISE:Computer Systems and Theory / v.31, no.3_4, 2004 , pp. 224-238 More about this Journal
Abstract
Multi-modality image registration is a widely used image processing technique to obtain composite information from two different kinds of image sources. This study proposes an image registration method based on moment information and surface distance, which improves the previous surface-based registration method. The proposed method ensures stable registration results with low registration error without being subject to the initial position and direction of the object. In the preprocessing step, the surface points of the object are extracted, and then moment information is computed based on the surface points. Moment information is matched prior to fine registration based on the surface distance, in order to ensure stable registration results even when the initial positions and directions of the objects are very different. Moreover, surface comer sampling algorithm has been used in extracting representative surface points of the image to overcome the limits of the existed random sampling or systematic sampling methods. The proposed method has been applied to brain MRI(Magnetic Resonance Imaging) and PET(Positron Emission Tomography), and its accuracy and stability were verified through registration error ratio and visual inspection of the 2D/3D registration result images.
Keywords
surface-based image registration; multi-modality image processing; feature points extraction; optimization;
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