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Improved optimization for the robust and accurate linear registration and motion correction of brain images.

Abstract:

Linear registration and motion correction are important components of structural and functional brain image analysis. Most modern methods optimize some intensity-based cost function to determine the best registration. To date, little attention has been focused on the optimization method itself, even though the success of most registration methods hinges on the quality of this optimization. This paper examines the optimization process in detail and demonstrates that the commonly used multireso...

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Publication status:
Published

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Institution:
University of Oxford
Department:
Oxford, MSD, Clinical Neuroscience
Role:
Author
More by this author
Institution:
University of Oxford
Department:
Oxford, MSD, Clinical Neuroscience
Role:
Author
Journal:
NeuroImage
Volume:
17
Issue:
2
Pages:
825-841
Publication date:
2002-10-05
DOI:
EISSN:
1095-9572
ISSN:
1053-8119
URN:
uuid:990c431c-a9f1-41e3-a855-3480f94a2300
Source identifiers:
64896
Local pid:
pubs:64896

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