KMID : 0357520090320020195
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Journal of Radiological Science and Technology 2009 Volume.32 No. 2 p.195 ~ p.203
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Image Registration for PET/CT and CT Images with Particle Swarm Optimization
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Lee Hak-Jae
Kim Yong-Kwon Lee Ki-Sung Kim Chang-Kyun Moon Guk-Hyun Joo Sung-Kwan Kim Kyeong-Min Cheon Gi-Jeong Choi Jong-Hak
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Abstract
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Image registration is a fundamental task in image processing used to match two or more images. It gives new information to the radiologists by matching images from different modalities. The objective of this study is to develop 2D image registration algorithm for PET/CT and CT images acquired by different systems at different times. We matched two CT images first (one from standalone CT and the other from PET/CT) that contain affluent anatomical information. Then, we geometrically transformed PET image according to the results of transformation parameters calculated by the previous step. We have used Affine transform to match the target and reference images. For the similarity measure, mutual information was explored. Use of particle swarm algorithm optimized the performance by finding the best matched parameter set within a reasonable amount of time. The results show good agreements of the images between PET/CT and CT. We expect the proposed algorithm can be used not only for PET/CT and CT image registration but also for different multi-modality imaging systems such as SPECT/CT, MRI/PET and so on.
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KEYWORD
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Image registration, Particle swarm optimization, Mutual information, PET/CT, CT
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