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TEXTURAL MUTUAL INFORMATION BASED ON CLUSTER TREES FOR MULTIMODAL DEFORMABLE REGISTRATION

Abstract:

Mutual information (MI) has been widely used in image analysis tasks such as feature selection and image registration. In particular, it is the most widely used similarity measure for intensity based registration of multimodal images. However, a major drawback of MI is that it does not take the spatial neighbourhood into account. An effective way of incorporating spatial information could be of great benefit in a number of challenging applications. We propose the use of cluster trees to effic...

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Publication status:
Published

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Publisher copy:
10.1109/ISBI.2012.6235849

Authors


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Institution:
University of Oxford
Division:
MSD
Department:
Clinical Neurosciences
Role:
Author
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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
Pages:
1471-1474
Host title:
2012 9TH IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI)
Publication date:
2012-01-01
DOI:
EISSN:
1945-8452
ISSN:
1945-7928
Source identifiers:
349028
ISBN:
9781457718588
Keywords:
Pubs id:
pubs:349028
UUID:
uuid:4eee3001-2b49-4e21-b866-c47341dfd194
Local pid:
pubs:349028
Deposit date:
2012-12-19

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