The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
A fast diffeomorphic image registration algorithm
Abstract
This paper describes DARTEL, which is an algorithm for diffeomorphic image registration. It is implemented for both 2D and 3D image registration and has been formulated to include an option for estimating inverse consistent deformations. Nonlinear registration is considered as a local optimisation problem, which is solved using a Levenberg-Marquardt strategy. The necessary matrix solutions are obtained in reasonable time using a multigrid method. A constant Eulerian velocity framework is used, which allows a rapid scaling and squaring method to be used in the computations. DARTEL has been applied to intersubject registration of 471 whole brain images, and the resulting deformations were evaluated in terms of how well they encode the shape information necessary to separate male and female subjects and to predict the ages of the subjects.
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“an IQ score greater than 70 on the Kaufman Brief Intelligence Test, Second Edition (KBIT-2).35”
From Distinct and shared therapeutic neural mechanisms of mindfulness-based and social support stress reduction groups in adults with autism spectrum disorder (2023) · cites this paper as [35]
Citations
Cites
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Self-citationA Voxel-Based Morphometric Study of Ageing in 465 Normal Adult Human Brains
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Within-subject template estimation for unbiased longitudinal image analysis
Reuter, M., Schmansky, N. J., Rosas, H. D., & Fischl, B. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.02.084 · Cited by 2,356
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
“investigated the use of the diffeomorphic sulcal-based cortical registration (DISCO) [92] in collaboration with an intensity method (DARTEL [97]).”
BackgroundMethodInfluentialYan, C.-G., Cheung, B., Kelly, C., Colcombe, S., Craddock, R. C., Di Martino, A., Li, Q., Zuo, X.-N., Castellanos, F. X., & Milham, M. P. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.03.004 · Cited by 1,461
The Centiloid Project: standardizing quantitative amyloid plaque estimation by PET
Klunk, W. E., Koeppe, R. A., Price, J. C., Benzinger, T. L., Devous, M. D., Jagust, W. J., Johnson, K. A., Mathis, C. A., Minhas, D., Pontecorvo, M. J., et al. (2015) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2014.07.003 · Cited by 1,348
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Kanai, R., & Rees, G. (2011) · Nature reviews. Neuroscience · doi:10.1038/nrn3000 · Cited by 1,055
Metadata
- Authors
- Ashburner, J.
- Affiliations
- Wellcome Centre for Human Neuroimaging (GB)
- Corresponding author
- Ashburner, John
- ORCID
- Ashburner, John
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2007-10
- Volume
- 38
- Issue
- 1
- Pages
- 95-113
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2155298532
- Cited by
- 8,122
- References
- 35
- Citations by year
- 2026: 343 · 2025: 522 · 2024: 530 · 2023: 514 · 2022: 620 · 2021: 681 · 2020: 630 · 2019: 555 · 2018: 528 · 2017: 541 · 2016: 481 · 2015: 539 · 2014: 466 · 2013: 428 · 2012: 295
- FWCI
- 96.63
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- Wellcome Trust
- Universiteit Maastricht
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Keywords
- diffeomorphic registration, DARTEL, nonlinear registration, Levenberg-Marquardt algorithm, multigrid methods, scaling and squaring, whole-brain MRI, brain shape, sex classification, age prediction
- MeSH terms
- Algorithms, Artificial Intelligence, Brain, Humans, Image Enhancement, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging, Pattern Recognition, Automated, Sensitivity and Specificity, Subtraction Technique, Reproducibility of Results, Imaging, Three-Dimensional
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