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Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images
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“All data sets were corrected for head motion, eddy currents and susceptibility distortions and are, in general, of very high quality69–73.”
From Tractography-based connectomes are dominated by false-positive connections (2016) · cites this paper as [73]
In the citing paper
“Additionally, participants were excluded in the following cases: acute suicidality (one autistic participant), self- or other-harming behaviour (no participants), excessive motion in the MRI scanner (one autistic participant; defined as mean framewise displacement above 0.55 mm or maximum framewise displacement above 5 mm based on Jenkinson et al., 2002)”
From Are prediction error modifications domain specific in autism but domain general in ADHD? (2025) · cites this paper as Jenkinson et al., 2002
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“Ground truth registration was defined by way of consistency analysis (Jenkinson et al 2002), in which multiple, independently performed registrations converged to the same result, and that result was judged sensible as assessed by a clinical expert.”
From Robust 3D–2D image registration: application to spine interventions and vertebral labeling in the presence of anatomical deformation (2013) · cites this paper as Jenkinson et al 2002
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Metadata
- Authors
- Jenkinson, M., Bannister, P., Brady, M., & Smith, S.
- Affiliations
- John Radcliffe Hospital (GB)
- University of Oxford (GB)
- Corresponding author
- Jenkinson, Mark
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2002-10
- Volume
- 17
- Issue
- 2
- Pages
- 825-841
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2052644075
- Cited by
- 11,888
- References
- 18
- Citations by year
- 2026: 738 · 2025: 819 · 2024: 853 · 2023: 847 · 2022: 824 · 2021: 841 · 2020: 885 · 2019: 743 · 2018: 720 · 2017: 663 · 2016: 663 · 2015: 611 · 2014: 521 · 2013: 477 · 2012: 351
- FWCI
- 44.51
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Medical Research Council
- Engineering and Physical Sciences Research Council
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- linear registration, brain image registration, motion correction, optimization methods, local minima, global-local optimization, multi-resolution registration, interpolation methods, registration accuracy
- MeSH terms
- Acoustic Stimulation, Algorithms, Brain, Computer Simulation, Data Interpretation, Statistical, Humans, Image Interpretation, Computer-Assisted, Models, Neurological, Motion, Photic Stimulation, Reproducibility of Results, Linear Models, Fuzzy Logic
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