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A symmetric prior for the regularisation of elastic deformations: Improved anatomical plausibility in nonlinear image registration

Abstract:

Nonlinear registration is critical to many aspects of Neuroimaging research. It facilitates averaging and comparisons across multiple subjects, as well as reporting of data in a common anatomical frame of reference. It is, however, a fundamentally ill-posed problem, with many possible solutions which minimise a given dissimilarity metric equally well. We present a regularisation method capable of selectively driving solutions towards those which would be considered anatomically plausible by p...

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Publication status:
Accepted
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.neuroimage.2020.116962

Authors


More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Clinical Neurosciences
Oxford college:
St Catherine's College
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Clinical Neurosciences
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Clinical Neurosciences
Role:
Author
Publisher:
Elsevier Publisher's website
Journal:
NeuroImage Journal website
Volume:
219
Article number:
116962
Publication date:
2020-06-01
Acceptance date:
2020-05-14
DOI:
EISSN:
1095-9572
ISSN:
1053-8119
Language:
English
Keywords:
Pubs id:
1106899
Local pid:
pubs:1106899
Deposit date:
2020-05-26

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