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This paper presents a new reference data set and associated quantification methodology to assess the accuracy of registration of computerized tomography (CT) and magnetic-resonance (MR) images. Also described is a new semiautomatic surface-based system for registering and visualizing CT and MR images. The registration error of the system was determined(More)
This paper describes a semi-automatic system for registering and visualizing CT (Computer Tomog-raphy) and MR (Magnetic Resonance) images the cervical spine. Registration requires identifying similar objects or structures in each image set. Identifying similar structures for this application is complicated because complementary imaging modalities are used.(More)
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