The Insight ToolKit image registration framework
Open accessAbstract
Publicly available scientific resources help establish evaluation standards, provide a platform for teaching and improve reproducibility. Version 4 of the Insight ToolKit (ITK(4)) seeks to establish new standards in publicly available image registration methodology. ITK(4) makes several advances in comparison to previous versions of ITK. ITK(4) supports both multivariate images and objective functions; it also unifies high-dimensional (deformation field) and low-dimensional (affine) transformations with metrics that are reusable across transform types and with composite transforms that allow arbitrary series of geometric mappings to be chained together seamlessly. Metrics and optimizers take advantage of multi-core resources, when available. Furthermore, ITK(4) reduces the parameter optimization burden via principled heuristics that automatically set scaling across disparate parameter types (rotations vs. translations). A related approach also constrains steps sizes for gradient-based optimizers. The result is that tuning for different metrics and/or image pairs is rarely necessary allowing the researcher to more easily focus on design/comparison of registration strategies. In total, the ITK(4) contribution is intended as a structure to support reproducible research practices, will provide a more extensive foundation against which to evaluate new work in image registration and also enable application level programmers a broad suite of tools on which to build. Finally, we contextualize this work with a reference registration evaluation study with application to pediatric brain labeling.
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The possibility that rostral-to-caudal effects are downstream of regional differences in promoter activity can probably be ruled out because many teams have shown strong expression of the transgene and high levels of amyloid plaque deposition in thalamus and midbrain.
“This raises the possibility that rostral-to-caudal effects we have detected are downstream of regional differences in promoter activity. This can probably be ruled out because many teams have shown strong expression of the transgene and high levels of amyloid plaque deposition in thalamus and midbrain81—regions in which we have demonstrated highly significant reductions in volume (Ref20, their”
From Magnetic resonance microscopy maps widespread effects of Alzheimer’s disease on brain structures and behavior in mice (2026) · cites this paper as [81]
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Experimental — accuracy not yet measuredExpression of the bigenic 5×FAD transgene is driven by neuron-specific Thy1 cassette vectors.
“Expression of the bigenic 5×FAD transgene is driven by neuron-specific Thy1 cassette vectors81.”
From Magnetic resonance microscopy maps widespread effects of Alzheimer’s disease on brain structures and behavior in mice (2026) · cites this paper as [81]
The Results section (3.2, Evaluation) discusses MRI image registration and brain labeling, not transgene expression. Searches of our copy for 5×FAD, Thy1, and neuron-specific transgene vectors found no passage addressing the claim. (LLM, conf=0.76)
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“The ground truth CT is acquired by performing registration through advanced normalisation Tools (ANTs) (Avants et al. 2014).”
MethodTian, Y., Hornburg, K., Austin, W., Cook, J. J., Qi, Y., White, L. E., Killmar, J. T., Kaczorowski, C. C., Ashbrook, D. G., Johnson, G. A., et al. (2026) · Nature Neuroscience · doi:10.1038/s41593-025-02199-4 · Cited by 1 · see citing works
- Authors
- Avants, B. B., Tustison, N. J., Stauffer, M., Song, G., Wu, B., & Gee, J. C.
- Affiliations
- University of Pennsylvania (US)
- University of Virginia (US)
- Corresponding author
- Avants, Brian B.
- Venue
- Frontiers in Neuroinformatics
- Publisher
- Frontiers Media SA
- Published
- 2014-04-28
- Volume
- 8
- Pages
- 44-44
- ISSN
- 1662-5196 (ISSN-L)
- PMC
- PMC4009425
- OpenAlex
- W2019836674
- Cited by
- 658
- References
- 1
- Citations by year
- 2026: 43 · 2025: 64 · 2024: 90 · 2023: 78 · 2022: 93 · 2021: 71 · 2020: 75 · 2019: 39 · 2018: 37 · 2017: 36 · 2016: 21 · 2015: 8 · 2014: 3
- FWCI
- 20.28
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Frontiers in Neuroinformatics (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
- Physical Sciences › Physics and Astronomy › Radiation › Advanced Radiotherapy Techniques
- Physical Sciences › Engineering › Biomedical Engineering › Medical Imaging and Analysis
- Keywords
- Insight Toolkit, image registration, open source software, reproducible research, deformation field, affine transformation, gradient-based optimizer, registration evaluation
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