Cited by 11,888Medical Image Segmentation TechniquesAdvanced MRI Techniques and ApplicationsFunctional Brain Connectivity Studies

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Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images

Jenkinson, Mark, Bannister, Peter, Brady, Michael, Smith, Stephen·2002·NeuroImage

DOI 10.1006/nimg.2002.1132

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A global optimisation method for robust affine registration of brain images
Jenkinson, M., & Smith, S. M. (2001) · Medical Image Analysis · doi:10.1016/s1361-8415(01)00036-6 · Cited by 7,018
Self-citation
Multimodality image registration by maximization of mutual information
Maes, F., Collignon, A., Vandermeulen, D., Marchal, G., & Suetens, P. (1997) · IEEE Transactions on Medical Imaging · doi:10.1109/42.563664 · Cited by 4,547
Movement‐Related effects in fMRI time‐series
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Spatial registration and normalization of images
Friston, K. J., Ashburner, J., Frith, C., Poline, J.-B., Heather, J. D., & Frackowiak, R. S. J. (1995) · Human Brain Mapping · doi:10.1002/hbm.460030303 · Cited by 3,744
Automatic 3D intersubject registration of MR volumetric data in standardized Talairach space
Collins, D. L., Neelin, P., Peters, T. M., & Evans, A. C. (1994) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-199403000-00005 · Cited by 3,431 · cited 5×
“9), all with the MNI 305 brain (Collins et al., 1994) as the reference image.”
BackgroundMethodInfluential
A survey of medical image registration
Maintz, J. B. A., & Viergever, M. A. (1998) · Medical Image Analysis · doi:10.1016/s1361-8415(01)80026-8 · Cited by 3,314
Temporal Autocorrelation in Univariate Linear Modeling of FMRI Data
Woolrich, M. W., Ripley, B. D., Brady, M., & Smith, S. M. (2001) · NeuroImage · doi:10.1006/nimg.2001.0931 · Cited by 2,859
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MRI-PET Registration with Automated Algorithm
Woods, R. P., Mazziotta, J. C., & Cherry, A. S. R. (1993) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-199307000-00004 · Cited by 1,636
Comparison and Evaluation of Retrospective Intermodality Brain Image Registration Techniques
West, J. B., Fitzpatrick, J. M., Wang, M. Y., Dawant, B. M., Maurer, C. R., KESSLER, R. M., Maciunas, R. J., Barillot, C., Lemoine, D., Collignon, A. M. F., et al. (1997) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-199707000-00007 · Cited by 883
Recent Developments in Nonparametric Density Estimation
Izenman, A. J. (1991) · Journal of the American Statistical Association · doi:10.2307/2289732 · Cited by 464

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“The following pre-statistics processing was then applied: motion correction using MCFLIRT (Jenkinson et al., 2002); non-brain removal using BET (Smith, 2002); spatial smoothing using a Gaussian kernel of FWHM 5 mm; grand-mean intensity normalization of the entire 4D dataset by a single multiplicative factor; highpass…”
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Self-citation

Authors: Jenkinson, M., Bannister, P., Brady, M., & Smith, S.
Affiliations: John Radcliffe Hospital (GB)
University of Oxford (GB)
Corresponding author: Jenkinson, Mark
ORCID: Jenkinson, Mark
Brady, Michael
Smith, Stephen
Venue: NeuroImage
Publisher: Elsevier BV
Published: 2002-10
Volume: 17
Issue: 2
Pages: 825-841
ISSN: 1053-8119 (ISSN-L)
DOI: 10.1006/nimg.2002.1132
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
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
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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Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images

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