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논문 기본정보
Particle Swarm Optimization을 이용한 PET/CT와 CT영상의 정합
논문 개요
| 기관명 | NDSL |
|---|---|
| 저널명 | 방사선기술과학 |
| ISSN | , |
| ISBN |
논문저자 및 소속기관 정보
| 저자(한글) | 이학재,김용권,이기성,문국현,주성관,김경민,천기정,최종학,김창균,고려대학교,고려대학교,고려대학교,고려대학교,고려대학교,한국원자력의학원,한국원자력의학원,고려대학교,고려대학교 |
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| 저자(영문) | |
| 소속기관 | |
| 소속기관(영문) | |
| 출판인 | |
| 간행물 번호 | |
| 발행연도 | 2009-01-01 |
| 초록 | 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. |
| 원문URL | http://click.ndsl.kr/servlet/OpenAPIDetailView?keyValue=03553784&target=NART&cn=ATN0030115131 |
| 첨부파일 |
추가정보
| 과학기술표준분류 | |
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| ICT 기술분류 | |
| DDC 분류 | |
| 주제어 (키워드) | Image registration,Particle swarm optimization,Mutual information,PET/CT,CT,영상정합,Particle swarm optimization,Mutual information,PET/CT,CT |