Journal of Biomedical Engineering Research (대한의용생체공학회:의공학회지)

The Korean Society of Medical and Biological Engineering (대한의용생체공학회)
권호 표지
DOI QR코드

DOI QR Code

Multimodal Medical Image Registration based on Image Sub-division and Bi-linear Transformation Interpolation

영상의 영역 분할과 이중선형 보간행렬을 이용한 멀티모달 의료 영상의 정합

  • Kim, Yang-Wook (Hongik Univ. Dept. of Computer engineering) ;
  • Park, Jun (Hongik Univ. Dept. of Computer engineering)
  • 김양욱 (홍익대학교 컴퓨터공학과) ;
  • 박준 (홍익대학교 컴퓨터공학과)
  • Published : 2009.02.28
Download PDF
⟨ Previous Next ⟩

Abstract

Transforms including translation and rotation are required for registering two or more images. In medical applications, different registration methods have been applied depending on the structures: for rigid bodies such as bone structures, affine transformation was widely used. In most previous research, a single transform was used for registering the whole images, which resulted in low registration accuracy especially when the degree of deformation was high between two images. In this paper, a novel registration method is introduced which is based image sub-division and bilinear interpolation of transformations. The proposed method enhanced the registration accuracy by 40% comparing with Trimmed ICP for registering color and MRI images.

Keywords

References

  1. S. Periaswamy, H. Farid, 'Medical Image Registration with Partial Data', Medical Image Analysis, vol. 10, pp. 452-464, 2005 https://doi.org/10.1016/j.media.2005.03.006
  2. B. Zitova, J. Flusser, 'Image Registration Methods: a Survey', Image and Vision Computing 21, pp. 977-1000, 2003 https://doi.org/10.1016/S0262-8856(03)00137-9
  3. J. B. A. Maintz, M. A. Viergever, 'A Survey of Medical Image Registration', Medical Image Analysis, Volume 2, pp. 1-36, 1998
  4. B. Zitova, J. Flusser, 'Image registration methods: a survey', Image and Vision Computing 21, pp. 977-1000, 2003 https://doi.org/10.1016/S0262-8856(03)00137-9
  5. L. G. Brown. 'A survery of image registration techniques', ACM Computing Surverys, vol. 24, Issue 4, pp. 325-376, 1992 https://doi.org/10.1145/146370.146374
  6. U. Bagci, L. Bai, 'Multiresolution Elastic Medical Image Registration in Standard Intensity Scale', SIBGRAPI, 2007
  7. A. Pitiot, G. Malandain, E. Bardinet, P. M. Thompson, 'Piecewise Affine Registration of Biological Images', WBIR, vol. 2717, pp. 91-101, 2003
  8. G. Gopalakrishnan , S. V. B. Kumar, A. Narayanan, R. Mullick, 'A Fast Piece-wise Deformable Method for Multi-Modality Image Registration', AIPR, pp. 114-119, 2005
  9. P. J. Besl, N. D. McKay, 'A Method for Registration of 3-D Shape', IEEE TRANSACTION ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, vol. 14, no. 2, pp. 239-256, 1992 https://doi.org/10.1109/34.121791
  10. J. S. Park, M. S. Chung, H. Choe, H. Y. Byun, J. Hwang, B. S. Shin, H. S. Park, 'Serially Sectioned Images of the Whole Body', The Korean J. Anat., vol. 39, no. 1, pp. 35-45, 2006
  11. W.H. Press, et al. 'Numerical Recipes in C', the Art of Scientific Computing. 2nd ed., Cambridge University Press, New York, 1992
  12. D. Chetverikov, D. Svirko, D. Stepanov, P. Krsek, 'The Trimmed Iterative Closest Point Algorithm', In Proc. International Conf. on Pattern Recognition, 2002