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The Registration Plugin
The desired optimizer can be chosen from a combo box. All parameters defining the selected optimizer have
to be specified within the line edits and checkboxes underneath the optimizer combo box. To show the current
interpolator for the registration process, just check the Interpolator checkbox. Currently, the following interpolators
are implemented (for detailed information see [1] and [2]):
• Linear: Intensity varies linearly between grid positions.
• NearestNeighbor: Uses the intensity of the nearest grid position.
You can show and hide the parameters for the selection by checking or unchecking the corresponding area. You
can save the current sets of parameters with the "Save as Testpreset" or "Save as Preset" buttons.
12.4.4
References:
1. L. Ibanez, W. Schroeder and K. Ng, The ITK Software Guide, Kitware Inc, New York, 2005.
2. http://www.itk.org/Doxygen/
3. Albert C.S. Chung, William M. Wells III, Alexander Norbash, and W. Eric L. Grimson, Multi-modal Image
Registration by Minimising Kullback-Leibler Distance, In Medical Image Computing and Computer-Assisted
Intervention - MICCAI 2002, LNCS 2489, pp. 525 - 532.
4. D. Mattes, D. R. Haynor, H. Vesselle, T. Lewellen and W. Eubank, "Nonrigid multimodality image registration",
Medical Imaging 2001: Image Processing, 2001, pp. 1609-1620.
5. D. Mattes, D. R. Haynor, H. Vesselle, T. Lewellen and W. Eubank, "PET-CT Image Registration in the Chest
Using Free-form Deformations", IEEE Transactions in Medical Imaging. Vol.22, No.1, January 2003, pp.120128.
6. Viola, P. and Wells III, W. (1997). "Alignment by Maximization of Mutual Information" International Journal of
Computer Vision, 24(2):137-154.
7. AP Zijdenbos, BM Dawant, RA Margolin , AC Palmer, Morphometric analysis of white matter lesions in MR
images: Method and validation, IEEE Transactions on Medical Imaging, 13(4):716-724, Dec. 1994.
8. R. H. Byrd, P. Lu and J. Nocedal. A Limited Memory Algorithm for Bound Constrained Optimization, (1995),
SIAM Journal on Scientific and Statistical Computing , 16, 5, pp. 1190-1208.
9. C. Zhu, R. H. Byrd and J. Nocedal. L-BFGS-B: Algorithm 778: L-BFGS-B, FORTRAN routines for large scale
bound constrained optimization (1997), ACM Transactions on Mathematical Software, Vol 23, Num. 4, pp.
550 - 560.
10. Martin Styner, G. Gerig, Christian Brechbuehler, Gabor Szekely, "Parametric estimate of intensity inhomogeneities applied to MRI", IEEE TRANSACTIONS ON MEDICAL IMAGING; 19(3), pp. 153-165, 2000.
11. Spall, J.C. (1998), "An Overview of the Simultaneous Perturbation Method for Efficient Optimization," Johns
Hopkins APL Technical Digest, vol. 19, pp. 482-492.
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