The KIPS Transactions:PartB (정보처리학회논문지B)

Korea Information Processing Society (한국정보처리학회)
권호 표지

Image Registration by Optimization of Mutual Information

상호정보 최적화를 통한 영상정합

  • 홍헬렌 (이화여자대학교 과학기술대학원 컴퓨터학과) ;
  • 김명희 (이화여자대학교 컴퓨터학과)
  • Published : 2001.04.01
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Abstract

In this paper, we propose an image registration method by optimization of mutual information to provide a significant infonnation from multimodality images. The method applies mutual infonnation to measure the statistical dependency'r information redundancy between the image intensities of corresponding pixels in both images, which is assumed to be maximal if the images are geometrically aligned. We show the registration results optimizing mutual information between brain MR image and brain CT image and the comparison results with additive gaussian noise. Since our method uses the native image rather than prior segmentation or feature extraction, no user interaction is required and the accuracy of registration is improved. In addition, it shows the robustness against the noise.

본 논문에서는 다중 모달리티 영상으로부터 의미 있는 정보를 제공하기 위하여 상호정보 최적화를 통한 영상정합 방법을 제안한다. 본 방법은 두 영상이 기하학적으로 정합되면 상호정보가 최대화된다는 가정 하에 두 영상에서 대응되는 위치의 명암도간 통계적 의존관계나 정보중복성을 계산하는 상호정보를 통하여 영상간 변형관계를 추정함으로써 영상을 정합한다. 실험결과로는 뇌 컴퓨터단층촬영영상의 상호정보를 최적화한 정합결과와 가우시안형 잡음 첨가에 따른 정합 비교 결과를 제시한다. 본 방법은 기존 정합방법에서 사용하는 영상분할이나 특징점 추출에 의한 정합이 아닌 영상 자체 정보를 사용함으로써 사용자와의 상호작용이 불필요하며 정합의 정확도를 향상시킬 수 있고 잡음에도 견고하다.

Keywords

References

  1. J. B. A. Maintz, 'Retrospective Registration of Tomographic Brain Images', Ph.D Thesis, 1996
  2. J. B. A. Maintz, and M.A. Viergever, 'A Survey of Medical Image Registration,' Medical Image Analysis, Vol.2, No.1, pp.1-37, 1996 https://doi.org/10.1016/S1361-8415(01)80026-8
  3. P. A. van den Elsen, E-JD. Pol, and M.A. Vergever, 'Medical Image Matching - A Review with Classification,' IEEE Engineering in Medicine and Biology, pp.26-39, March, 1993 https://doi.org/10.1109/51.195938
  4. D.Vandermeulen, 'Methods for Registration, Interpolation and Interpretation of Three-Dimensional Medical Image Data for Use in 3D Display, 3D Modeling and Therapy Planning', Ph. D. Thesis, University of Leuven, Belgium, 1991
  5. L. Lemieux, N. D. Kitchen, S. W. Hughes, and D. G. T. Thomas, 'Voxel-based Locallization in Frame-based and Frameless Stereotaxy and its Accuracy,' Medical Physics, Vol.21, No.8, pp.1301-1310, 1994 https://doi.org/10.1118/1.597403
  6. C. S. Chua, and R. Jarvis, '3D Free-Form Surface Registration and Object Recognition,' International Journal of Computer Vision, Vol.17, pp.77-99, 1996 https://doi.org/10.1007/BF00127819
  7. J. Thirion, 'New Feature Points based on Geometric Invariants for 3D Image Registration,' International Journal of Computer Vision, Vol.18, No.2, pp.121-137, 1996 https://doi.org/10.1007/BF00054999
  8. X. Wang, Y. Cheng, R. T. Collins, and A. R. Hanson, 'Determining Correspondences and Rigid Motion of 3D Points Sets with Missing Data,' Computer Vision and Pattem Recognition, pp.252-257, Los Alamitos, CA, IEEE Computer Society Press https://doi.org/10.1109/CVPR.1996.517082
  9. T. McInerney, and D. Terzopoulos, 'Deformable Models in Medical Image Analysis,' Mathematical Methods in Biomedical Image Analysis, pp.171-180, Los Almitos, CA, IEEE Computer Society Press https://doi.org/10.1109/MMBIA.1996.534069
  10. J. Y. Chiang, and B. J. Sullivan, 'Coincident Bit counting - A New Criterion for Image Registration,' IEEE Trans. on Medical Image, Vol.12, No.1, pp.30-38, 1993 https://doi.org/10.1109/42.222663
  11. T. Lehmann, C. Goerke, W. Schmitt, A. Kaupp, and R. Repges, 'A Rotation-Extended Cepstrum Technique Optimized by Systematic Analysis of Various Sets of X-Ray Images,' SPIE Medical Imaging : Image Processing, Vol.2710, 390-401, 1996 https://doi.org/10.1117/12.237941
  12. J. Wang, L. E. Reinstein, J. Hanley, and A. G. Meek, 'Investigation of a Phase-Only Correlation Technique for Anatomical Alignment of Portal Images in Radiation Therapy,' Physics in Medicine and Biology, Vol.41, pp.1045-1058, 1996 https://doi.org/10.1088/0031-9155/41/6/008
  13. A. Venot, J. F. Lebruchec, and J. C. Roucayrol, 'A New Class of Similarity Measures for Robust Image Registration,' Computer Vision Graphics Image Processing, Vol.18, No.2, pp.176-184, 1984 https://doi.org/10.1016/S0734-189X(84)80020-1
  14. P. Gerlot-Chiron, and Y. Bizais, 'Registration of Multimodality Medical Images using Region Overlap Criterion,' CVGIP : Graphical Models and Images Processing, Vol.54, No.5, pp.396-406, Sept. 1992 https://doi.org/10.1016/1049-9652(92)90024-R
  15. T. Radcliffe, R. Rajapakshe, and S. Shalev, 'Pesudocorrelation : A Fast, Robust, Absolute, Gray-Level Image Alignment Algorithm,' Medical Physics, Vol.21, No.6, pp.761-769, 1994 https://doi.org/10.1118/1.597336
  16. J. B. A. Maintz, P. A. ven den Elsen and M. A. Viergever, 'Comparison of Feature-based Matching of CT and MR Brain Images,' Proc. 1st International Conference of Computer Vision, Virtual Reality and Robotics in Medicine; Lecture Notes in Computer Science 905, N.Ayache, Ed. New York : Springer-Verlag, pp.219-228, Apr. 1995 https://doi.org/10.1007/BFb0034951
  17. P. A. van den Elsen, J. B. A. Maintz, E-J. D. Pol, and M. A. Viergever, 'Automatic Registration of CT and MR Brain Images using Correlation of Geometrical Features,' IEEE Trans. on Medical Imaging, Vol.14, No.2, June, 1995 https://doi.org/10.1109/42.387719
  18. R. P. Woods, J. C. Mazziotta, and S. R. Cherry, 'MRI-PET Registration with Automated Algorithm,' Journal of Computer Assisted Tomography, Vol.17, No.4, pp.536-546, July/Aug. 1993
  19. D. L. G. Hill, C. Studholme, and D. J. Hawks, 'Voxel Similarity Measures for Automated Image Registration,' Proc. Visualization in Biomedical Computing 1994, SPIE, Vol.2359, pp.205-216, 1994 https://doi.org/10.1117/12.185180
  20. J. R. Parker, Algorithms for Image Processing and Computer Vision, Wiley
  21. A. K. Jain, Fundamentals of Digital Image Processing, Prentice Hall
  22. J. W. Barnes, Statistical Analysis for Engineers and Scientists - A Computer-Based Approach, McGrawHill