The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Fast parametric elastic image registration
Open accessAbstract
We present an algorithm for fast elastic multidimensional intensity-based image registration with a parametric model of the deformation. It is fully automatic in its default mode of operation. In the case of hard real-world problems, it is capable of accepting expert hints in the form of soft landmark constraints. Much fewer landmarks are needed and the results are far superior compared to pure landmark registration. Particular attention has been paid to the factors influencing the speed of this algorithm. The B-spline deformation model is shown to be computationally more efficient than other alternatives. The algorithm has been successfully used for several two-dimensional (2-D) and three-dimensional (3-D) registration tasks in the medical domain, involving MRI, SPECT, CT, and ultrasound image modalities. We also present experiments in a controlled environment, permitting an exact evaluation of the registration accuracy. Test deformations are generated automatically using a random hierarchical fractional wavelet-based generator.
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Cites
Multimodality image registration by maximization of mutual information
Maes, F., Collignon, A., Vandermeulen, D., Marchal, G., & Suetens, P. (1997) · IEEE Transactions on Medical Imaging · doi:10.1109/42.563664 · Cited by 4,547
Variational Methods for Multimodal Image Matching
Hermosillo, G., Chefd'Hotel, C., & Faugeras, O. (2002) · International Journal of Computer Vision · doi:10.1023/a:1020830525823 · Cited by 388
Cited by
Ashburner, J., & Friston, K. J. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.02.018 · Cited by 7,507
Elastix: a toolbox for intensity-based medical image registration
Klein, S., Staring, M., Murphy, K., Viergever, M. A., & Pluim, J. (2010) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2009.2035616 · Cited by 4,311
Deformable medical image registration: a survey
Sotiras, A., Davatzikos, C., & Paragios, N. (2013) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2013.2265603 · Cited by 1,587
“Unser [136] compared the LM algorithm with GD, GD with a”
BackgroundMethodA Review of Geometric Transformations for Nonrigid Body Registration
Holden, M. (2008) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2007.904691 · Cited by 369
GPU-accelerated elastic 3D image registration for intra-surgical applications
Ruijters, D., ter Haar Romeny, B. M., & Suetens, P. (2011) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2010.08.014 · Cited by 24
Metadata
- Authors
- Kybic, J., & Unser, M.
- Venue
- IEEE Transactions on Image Processing
- Published
- 2003-11
- Volume
- 12
- Issue
- 11
- Pages
- 1427-1442
- ISSN
- 1057-7149 (ISSN-L)
- OpenAlex
- W2118420236
- Cited by
- 477
- References
- 2
- FWCI
- 21.13
- Type
- journal article
- Language
- en
- Open access
- green
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- Kybic, J., & Unser, M. (2003). Fast parametric elastic image registration. IEEE Transactions on Image Processing. https://doi.org/10.1109/tip.2003.813139
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