Journal of Biomedical Engineering Research (대한의용생체공학회:의공학회지)

The Korean Society of Medical and Biological Engineering (대한의용생체공학회)
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Region-Based 3D Image Registration Technique for TKR

전슬관절치환술을 위한 3차원 영역기반 영상정합 기술

  • Key, J.H. (Biomedical Research Center, Korea Institute of Science and Technology) ;
  • Seo, D.C. (Biomedical Research Center, Korea Institute of Science and Technology) ;
  • Park, H.S. (Biomedical Research Center, Korea Institute of Science and Technology) ;
  • Youn, I.C. (Biomedical Research Center, Korea Institute of Science and Technology) ;
  • Lee, M.K. (Biomedical Research Center, Korea Institute of Science and Technology) ;
  • Yoo, S.K. (Dept. of Medical Engineering, Yonsei Univ. College of Medicine) ;
  • Choi, K.W. (Biomedical Research Center, Korea Institute of Science and Technology)
  • 기재홍 (한국과학기술원(KIST) 의과학연구센터) ;
  • 서덕찬 (한국과학기술원(KIST) 의과학연구센터) ;
  • 박흥석 (한국과학기술원(KIST) 의과학연구센터) ;
  • 윤인찬 (한국과학기술원(KIST) 의과학연구센터) ;
  • 이문규 (한국과학기술원(KIST) 의과학연구센터) ;
  • 유선국 (연세대학교 의과대학 의학공학교실) ;
  • 최귀원 (한국과학기술원(KIST) 의과학연구센터)
  • Published : 2006.12.12
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Abstract

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.

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References

  1. Wheeler, M. D., Automatic Modeling and Localization for Object Recognition, 1996, PhD thesis, Carnegie Mellon University, Pittsburgh, PA. CMS-CS-96-188
  2. Uenohara, M. and Kanade, T., 'Vision-based object registration for real-time image overlay,' in Proc. the First International Conference on Computer Vision, Virtual Reality and Robotics in Medicine, 1995, Nice, France. Springer-Verlag, pp. 13-22
  3. D. A. Simon, M. Hebert, and T. Kanade, 'Real-time 3-d pose estimation using a high-speed range sensor,' In Proc. IEEE International Conference on Robotics and Automation, May 1994, San Diego, CA, pp. 2235-2241
  4. Besl, P. J. and McKay, N. D., 'A method for registration of 3-d shapes,' IEEE Transactions on Pattern Analysis and Machine Intelligence, 1992, vol. 14, no.2, pp. 239-256 https://doi.org/10.1109/34.121791
  5. S. Lavallee, R. Sze1iski, and L. Brunie. Matching, '3-d smooth surfaces with their 2-d projections using 3-d distance maps,' In SPIE Proceedings: Geometric Methods in Computer Vision, July 1991, San Diego, pp. 322-336
  6. Zhang, Z., 'Iterative point matching for registration offree-fonn curves and surfaces,' The International Journal of Computer Vision, vol. 13, no.1, pp. 119-152, 1994 https://doi.org/10.1007/BF01427149
  7. Lavallee, S. and Szeliski, R., 'Recovering the position and orientation of free-form objects from image contours using 3d distance maps,' IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 17, no. 4, pp. 378-390, 1995 https://doi.org/10.1109/34.385980
  8. Berthold K.P. Hom, 'Closed-form solution of absolute orientation using unit quartemions,' Journal of the Optical Society of America A, vol. 4, pp. 629,1987 https://doi.org/10.1364/JOSAA.4.000629
  9. S.S. Lee, Y.J. Hwang, H.J. Kim, CATIA V5, Science Technology, 2003,pp.31-32,200-208
  10. H. Jiang, R. A. Robb, and K. S. 'Holton. A new approach to 3-d registration of multimodality medical images by surface matching,' In Visualization in Biomedical Computing - SPIE, vol. 1808, pp. 196-213, 1992
  11. Frank H. Netter, MUSCULOSKELETAL SYSTEM, CIBA, vol.8, CIBA, pp. 249-258