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A PROBABILISTIC NON-RIGID REGISTRATION FRAMEWORK USING LOCAL NOISE ESTIMATES

Abstract:

Accurate inter-subject registration of magnetic resonance (MR) images of the human brain is required to allow meaningful comparisons across groups of subjects. Some anatomical structures can be very difficult to match and this can result in intensity based registration approaches inferring complex and implausible mappings in some regions. In this work, we propose a generic probabilistic framework for non-rigid registration with a spatially varying trade-off between image information and regul...

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Publication status:
Published

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Publisher copy:
10.1109/ISBI.2012.6235641

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Institution:
University of Oxford
Department:
Oxford, MSD, Psychiatry
Role:
Author
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Institution:
University of Oxford
Department:
Oxford, MPLS, Engineering Science
Role:
Author
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Journal:
2012 9TH IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI)
Pages:
688-691
Publication date:
2012-01-01
DOI:
EISSN:
1945-8452
ISSN:
1945-7928
URN:
uuid:9fdb0212-d0cd-483f-abb1-2032c5e27168
Source identifiers:
348968
Local pid:
pubs:348968

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