The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Elastic Registration of Biological Images Using Vector-Spline Regularization
Open accessAbstract
We present an elastic registration algorithm for the alignment of biological images. Our method combines and extends some of the best techniques available in the context of medical imaging. We express the deformation field as a B-spline model, which allows us to deal with a rich variety of deformations. We solve the registration problem by minimizing a pixelwise mean-square distance measure between the target image and the warped source. The problem is further constrained by way of a vector-spline regularization which provides some control over two independent quantities that are intrinsic to the deformation: its divergence, and its curl. Our algorithm is also able to handle soft landmark constraints, which is particularly useful when parts of the images contain very little information or when its repartition is uneven. We provide an optimal analytical solution in the case when only landmarks and smoothness considerations are taken into account. We have applied our approach to perform the elastic registration of images such as electrophoretic gels and fly embryos. The validation of the results by experts has been favorable in all cases.
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Cites
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Image registration methods: a survey
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Nonrigid registration using free-form deformations: application to breast mr images
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A pyramid approach to subpixel registration based on intensity
Thevenaz, P., Ruttimann, U. E., & Unser, M. (1998) · IEEE Transactions on Image Processing · doi:10.1109/83.650848 · Cited by 3,078
Self-citationSplines: a perfect fit for signal and image processing
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Self-citationDeformable templates using large deformation kinematics
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Cited by
Giorgetti, L., Galupa, R., Nora, E. P., Piolot, T., Lam, F., Dekker, J., Tiana, G., & Heard, E. (2014) · Cell · doi:10.1016/j.cell.2014.03.025 · Cited by 460
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
A survey of methods for 3D histology reconstruction
Pichat, J., Iglesias, J. E., Yousry, T., Ourselin, S., & Modat, M. (2018) · Medical Image Analysis · doi:10.1016/j.media.2018.02.004 · Cited by 207
Closing the loop: 3C versus DNA FISH
Giorgetti, L., & Heard, E. (2016) · Genome Biology · doi:10.1186/s13059-016-1081-2 · Cited by 131
Krishna, S., Arrojo e Drigo, R., Capitanio, J. S., Ramachandra, R., Ellisman, M., & Hetzer, M. W. (2021) · Developmental Cell · doi:10.1016/j.devcel.2021.10.008 · Cited by 73
Metadata
- Authors
- Sorzano, C. O. S., Thevenaz, P., & Unser, M.
- Venue
- IEEE Transactions on Biomedical Engineering
- Published
- 2005-04
- Volume
- 52
- Issue
- 4
- Pages
- 652-663
- ISSN
- 0018-9294 (ISSN-L)
- OpenAlex
- W2120967246
- Cited by
- 323
- References
- 38
- FWCI
- 25.93
- Type
- journal article
- Language
- en
- Open access
- green
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- Sorzano, C. O. S., Thevenaz, P., & Unser, M. (2005). Elastic Registration of Biological Images Using Vector-Spline Regularization. IEEE Transactions on Biomedical Engineering. https://doi.org/10.1109/tbme.2005.844030
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
