전슬관절치환술을 위한 3차원 영역기반 영상정합 기술

Image Guided Surgery (IGS) system which has variously tried in medical engineering fields is able to give a surgeon objective information of operation process like decision making and surgical planning. This information is displayed through 3D images which are acquired from image modalities like CT...

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Published inJournal of biomedical engineering research Vol. 27; no. 6; pp. 392 - 401
Main Authors 기재홍, 서덕찬, 박흥석, 윤인찬, 이문규, 유선국, 최귀원, Key, J.H, Seo, D.C, Park, H.S, Youn, I.C, Lee, M.K, Yoo, S.K, Choi, K.W
Format Journal Article
LanguageKorean
Published 대한의용생체공학회 01.12.2006
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ISSN1229-0807
2288-9396

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Summary:Image Guided Surgery (IGS) system which has variously tried in medical engineering fields is able to give a surgeon objective information of operation process like decision making and surgical planning. This information is displayed through 3D images which are acquired from image modalities like CT and MRI for pre-operation. The technique of image registration is necessary to construct IGS system. Image registration means that 3D model and the object operated by a surgeon are matched on the common frame. Major techniques of registration in IGS system have been used by recognizing fiducial markers placed on the object. However, this method has been criticized due to additional trauma, its invasive protocol inserting fiducial markers in patient's bone and generating noise data when 2D slice images are acquired by image modality because many markers are made of metal. Therefore, this paper developed shape-based registration technique to improve the limitation of fiducial marker based IGS system. Iterative Closest Points (ICP) algorithm was used to match corresponding points and quaternion based rotation and translation transformation using closed form solution applied to find the optimized cost function of transformation. we assumed that this algorithm were used in Total Knee replacement (TKR) operation. Accordingly, we have developed region-based 3D registration technique based on anatomical landmarks and this registration algorithm was evaluated in a femur model. It was found that region-based algorithm can improve the accuracy in 3D registration.
Bibliography:KISTI1.1003/JNL.JAKO200608508443987
G704-000351.2006.27.6.012
ISSN:1229-0807
2288-9396