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Title
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Data distributions in magnetic resonance images : a review
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Author
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Abstract
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| Many image processing methods applied to magnetic resonance (MR) images directly or indirectly rely on prior knowledge of the statistical data distribution that characterizes the MR data. Also, data distributions are key in many parameter estimation problems and strongly relate to the accuracy and precision with which parameters can be estimated. This review paper provides an overview of the various distributions that occur when dealing with MR data, considering both single-coil and multiple-coil acquisition systems. The paper also summarizes how knowledge of the MR data distributions can be used to construct optimal parameter estimators and answers the question as to what precision may be achieved ultimately from a particular MR image. (C) 2014 Associazione Italiana di Fisica Medica. Published by Elsevier Ltd. All rights reserved. |
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Language
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English
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Source (journal)
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Physica medica / Argus specialist publications. - London
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Publication
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London
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2014
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ISSN
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1120-1797
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DOI
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10.1016/J.EJMP.2014.05.002
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Volume/pages
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30
:7
(2014)
, p. 725-741
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ISI
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000344423400001
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Pubmed ID
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25059432
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Full text (Publisher's DOI)
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Full text (publisher's version - intranet only)
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