| Retrospective Evaluation of PET-MRI Registration Algorithms. | |
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MedLine Citation:
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PMID: 20437075 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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The purpose of this study is to evaluate the accuracy of registration positron emission tomography (PET) head images to the MRI-based brain atlas. The [(18)F]fluoro-2-deoxyglucose PET images were normalized to the MRI-based brain atlas using nine registration algorithms including objective functions of ratio image uniformity (RIU), normalized mutual information (NMI), and normalized cross correlation (CC) and transformation models of rigid-body, linear, affine, and nonlinear transformations. The accuracy of normalization was evaluated by visual inspection and quantified by the gray matter (GM) concordance between normalized PET images and the brain atlas. The linear and affine registration based on the RIU provided the best GM concordance (average similarity index of 0.71 for both). We also observed that the GM concordances of linear and affine registration were higher than those of the rigid and nonlinear registration among the methods evaluated. |
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Authors:
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Zuyao Y Shan; Sara J Mateja; Wilburn E Reddick; John O Glass; Barry L Shulkin |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Journal of digital imaging : the official journal of the Society for Computer Applications in Radiology Volume: 24 ISSN: 1618-727X ISO Abbreviation: J Digit Imaging Publication Date: 2011 Jun |
Date Detail:
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Created Date: 2011-05-11 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9100529 Medline TA: J Digit Imaging Country: United States |
Other Details:
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Languages: eng Pagination: 485-93 Citation Subset: IM |
Affiliation:
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Division of Translational Imaging Research, Department of Radiological Sciences, MS 212, St. Jude Children's Research Hospital, 262 Danny Thomas Place, Memphis, TN, 38105, USA, Zuyao.Shan@stjude.org. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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