Simultaneous reconstruction and registration algorithm for limited view transmission tomography using a multiple cluster approximation to the joint histogram with an anatomical prior.

We develop a novel simultaneous reconstruction and registration algorithm for limited view transmission tomography. We derive a cost function using Bayesian probability theory, and propose a similarity metric based on the explicit modeling of the joint histogram as a sum of bivariate clusters. The r...

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Main Authors: Van de Sompel, D, Brady, M
Format: Journal article
Language:English
Published: 2009
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author Van de Sompel, D
Brady, M
author_facet Van de Sompel, D
Brady, M
author_sort Van de Sompel, D
collection OXFORD
description We develop a novel simultaneous reconstruction and registration algorithm for limited view transmission tomography. We derive a cost function using Bayesian probability theory, and propose a similarity metric based on the explicit modeling of the joint histogram as a sum of bivariate clusters. The resulting algorithm shows a robust mitigation of the data insufficiency problem in limited view tomography. To our knowledge, our work represents the first attempt to incorporate non-registered, multimodal anatomical priors into limited view transmission tomography by using joint histogram based similarity measures.
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spelling oxford-uuid:e31687a8-d5bc-4610-8e4f-db7a61cba3e72022-03-27T10:06:38ZSimultaneous reconstruction and registration algorithm for limited view transmission tomography using a multiple cluster approximation to the joint histogram with an anatomical prior.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:e31687a8-d5bc-4610-8e4f-db7a61cba3e7EnglishSymplectic Elements at Oxford2009Van de Sompel, DBrady, MWe develop a novel simultaneous reconstruction and registration algorithm for limited view transmission tomography. We derive a cost function using Bayesian probability theory, and propose a similarity metric based on the explicit modeling of the joint histogram as a sum of bivariate clusters. The resulting algorithm shows a robust mitigation of the data insufficiency problem in limited view tomography. To our knowledge, our work represents the first attempt to incorporate non-registered, multimodal anatomical priors into limited view transmission tomography by using joint histogram based similarity measures.
spellingShingle Van de Sompel, D
Brady, M
Simultaneous reconstruction and registration algorithm for limited view transmission tomography using a multiple cluster approximation to the joint histogram with an anatomical prior.
title Simultaneous reconstruction and registration algorithm for limited view transmission tomography using a multiple cluster approximation to the joint histogram with an anatomical prior.
title_full Simultaneous reconstruction and registration algorithm for limited view transmission tomography using a multiple cluster approximation to the joint histogram with an anatomical prior.
title_fullStr Simultaneous reconstruction and registration algorithm for limited view transmission tomography using a multiple cluster approximation to the joint histogram with an anatomical prior.
title_full_unstemmed Simultaneous reconstruction and registration algorithm for limited view transmission tomography using a multiple cluster approximation to the joint histogram with an anatomical prior.
title_short Simultaneous reconstruction and registration algorithm for limited view transmission tomography using a multiple cluster approximation to the joint histogram with an anatomical prior.
title_sort simultaneous reconstruction and registration algorithm for limited view transmission tomography using a multiple cluster approximation to the joint histogram with an anatomical prior
work_keys_str_mv AT vandesompeld simultaneousreconstructionandregistrationalgorithmforlimitedviewtransmissiontomographyusingamultipleclusterapproximationtothejointhistogramwithananatomicalprior
AT bradym simultaneousreconstructionandregistrationalgorithmforlimitedviewtransmissiontomographyusingamultipleclusterapproximationtothejointhistogramwithananatomicalprior