The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Landmark-based elastic registration using approximating thin-plate splines
Abstract
We consider elastic image registration based on a set of corresponding anatomical point landmarks and approximating thin-plate splines. This approach is an extension of the original interpolating thin-plate spline approach and allows to take into account landmark localization errors. The extension is important for clinical applications since landmark extraction is always prone to error. Our approach is based on a minimizing functional and can cope with isotropic as well as anisotropic landmark errors. In particular, in the latter case it is possible to include different types of landmarks, e.g., unique point landmarks as well as arbitrary edge points. Also, the scheme is general with respect to the image dimension and the order of smoothness of the underlying functional. Optimal affine transformations as well as interpolating thin-plate splines are special cases of this scheme. To localize landmarks we use a semi-automatic approach which is based on three-dimensional (3-D) differential operators. Experimental results are presented for two-dimensional as well as 3-D tomographic images of the human brain.
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Citations
Cites
Spline Models for Observational Data
Wahba, G. (1990) · doi:10.1137/1.9781611970128 · Cited by 4,184
Cited by
Image registration methods: a survey
Zitová, B., & Flusser, J. (2003) · Image and Vision Computing · doi:10.1016/s0262-8856(03)00137-9 · Cited by 6,423
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
“Furthermore, TPS do not take into consideration possible errors in the estimation of the displacements in the landmark positions [110].”
BackgroundA new point matching algorithm for non-rigid registration
Chui, H., & Rangarajan, A. (2003) · Computer Vision and Image Understanding · doi:10.1016/s1077-3142(03)00009-2 · Cited by 1,560
A 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
Deformable 2D-3D Registration of Vascular Structures in a One View Scenario
Groher, M., Zikic, D., & Navab, N. (2009) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2008.2011519 · Cited by 91
Metadata
- Authors
- Rohr, K., Stiehl, H. S., Sprengel, R., Buzug, T. M., Weese, J., & Kuhn, M. H.
- Venue
- IEEE Transactions on Medical Imaging
- Published
- 2001-06
- Volume
- 20
- Issue
- 6
- Pages
- 526-534
- ISSN
- 0278-0062 (ISSN-L)
- OpenAlex
- W2125113735
- Cited by
- 424
- References
- 1
- FWCI
- 11.86
- Type
- journal article
- Language
- en
- Open access
- closed
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- Rohr, K., Stiehl, H. S., Sprengel, R., Buzug, T. M., Weese, J., & Kuhn, M. H. (2001). Landmark-based elastic registration using approximating thin-plate splines. IEEE Transactions on Medical Imaging. https://doi.org/10.1109/42.929618
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