16
Views
0
CrossRef citations to date
0
Altmetric
Articles

Medical image elastic registration based on discontinuity adaptive Markov random field model

, , , &
Pages 193-201 | Published online: 18 Jul 2013

REFERENCES

  • Zitova, B and Flusser, J. Image registration methods: a survey. Image Vision Comput., 2003, 21, 977–1000.
  • Makela, T., Clarysse, P., Sipila, O., Pauna, N., Pham, Q. C., Katila, T. and Magnin, I. A review of cardiac image registration methods. IEEE Trans. Med. Imag., 2002, 21, 1011–1021.
  • Wollny, G. and Kruggel, F. Computational cost of nonrigid registration algorithms based on fluid dynamics. IEEE Trans. Med. Imag., 2002, 21, 946–952.
  • Christensen, G. E., Rabitt, R. D. and Miller, M. I. Deformable templates using large deformation kinematics. IEEE Trans. Med. Imag., 1996, 5, 1435–1447.
  • Vemuri, B. C., Ye, J., Chen, Y. and Leonard, C. M. Image registration via level-set motion: applications to atlas-based segmentation. Med. Image Anal., 2003, 7, 1–20.
  • Rohlfing, T, Maurer, C. R., Bluemke, D. A. and Jacobs, M. A. Volume-preserving nonrigid registration of MR breast images using free-form deformation with an incompressibility constraint. IEEE Trans. Med. Imag., 2003, 22, 730–741.
  • Xu, R. and Chen Y.-W. A wavelet-based multiresolution medical image registration strategy combining mutual information with spatial information. Int. J. Innov. Comput. Inform. Control, 2006, 105, 285–296.
  • Kybic, J. and Unser, M. Fast parametric elastic image registration. IEEE Trans. Image Process., 2003, 12, 1427–1442.
  • Li, S. Z. Markov Random Field Modeling in Image Analysis, 3rd edition, 2009 (Springer-Verlag, New York).
  • Roy, S. and Govindu, V. MRF solutions for probabilistic optical flow formulations, Proc. Int. Conf. on Pattern recognition: ICPR’00, Barcelona, Spain, September 2000, IEEE Computer Society, Vol. III, pp. 7053.
  • Boykov, Y., Veksler, O. and Zabih, R. Fast approximate energy minimization via graph cuts. IEEE Trans. Patt. Anal. Mach. Intell. 2001, 23, 1222–1239.
  • Shekhovtsov, A., Kovtun, I. and Hlavac, V. Efficient MRF deformation model for nonrigid image matching. Comput. Vision Image Understand., 2008, 112, 91–99.
  • Tang, T. W. H. and Chung, A. C. S. Non-rigid image registration using graph-cuts. Med. Image Comput. Comput. Assist. Interv., 2007, 10, 916–924.
  • Zheng, Y., Yu, J., Kambhamettu, C., Englander, S., Schnall, M. D. and Shen, D. De-enhancing the dynamic contrast-enhanced breast MRI for robust registration. Med. Image Comput. Comput. Assist. Interv., 2007, 10, 933–941.
  • Kybic, J. and Unser, M. Fast parametric elastic image registration. IEEE Trans. Image Process., 2003, 12, 1427–1442.
  • Unser, M., Aldroubi, A. and Eden, M. B-spline signal processing: Part I - Theory. IEEE Trans. Signal Process, 1993, 41, 821–832.
  • Unser, M., Aldroubi, A. and Eden, M. B-spline signal processing: Part II - Efficient design and application. IEEE Trans. Signal Process., 1993, 41, 834–848.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.