The influence of white matter fibre orientation on MR signal phase and decay
Identifieur interne : 000916 ( Istex/Corpus ); précédent : 000915; suivant : 000917The influence of white matter fibre orientation on MR signal phase and decay
Auteurs : Christian Denk ; Enedino Hernandez Torres ; Alex Mackay ; Alexander RauscherSource :
- NMR in Biomedicine [ 0952-3480 ] ; 2011-04.
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- KwdEn :
Abstract
MRI phase images of the brain exhibit excellent contrast and high signal‐to‐noise ratio. It has been shown recently that the phase contrast not only depends on a tissue's magnetic susceptibility but also on its architecture, which offers new ways of studying biological tissues in vivo. We combined diffusion tensor imaging and multi‐echo susceptibility‐weighted imaging to investigate the relationship between white matter fibre orientation and gradient‐echo phase and magnitude. The local angle between white matter fibres and the main magnetic field was computed from the principal diffusion direction. The phase and signal decay of the gradient‐echo images revealed a characteristic relationship with fibre orientation. The phase is in agreement with a recently reported model of cerebral white matter phase contrast in MRI. Copyright © 2010 John Wiley & Sons, Ltd.
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DOI: 10.1002/nbm.1581
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<name type="personal"><namePart type="given">Alex</namePart>
<namePart type="family">MacKay</namePart>
<affiliation>University of British Columbia, Department of Physics and Astronomy, Vancouver, BC, Canada</affiliation>
<role><roleTerm type="text">author</roleTerm>
</role>
</name>
<name type="personal"><namePart type="given">Alexander</namePart>
<namePart type="family">Rauscher</namePart>
<affiliation>University of British Columbia, UBC MRI Research Centre, Vancouver, BC, Canada</affiliation>
<affiliation>M‐10 Purdy Pavilion, 2221 Wesbrook Mall, Vancouver, BC, Canada, V6T 2B5.</affiliation>
<role><roleTerm type="text">author</roleTerm>
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<typeOfResource>text</typeOfResource>
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<originInfo><publisher>John Wiley & Sons, Ltd.</publisher>
<place><placeTerm type="text">Chichester, UK</placeTerm>
</place>
<dateIssued encoding="w3cdtf">2011-04</dateIssued>
<dateCaptured encoding="w3cdtf">2009-05-15</dateCaptured>
<dateValid encoding="w3cdtf">2010-05-27</dateValid>
<copyrightDate encoding="w3cdtf">2011</copyrightDate>
</originInfo>
<language><languageTerm type="code" authority="rfc3066">en</languageTerm>
<languageTerm type="code" authority="iso639-2b">eng</languageTerm>
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<extent unit="figures">6</extent>
<extent unit="references">39</extent>
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<abstract lang="en">MRI phase images of the brain exhibit excellent contrast and high signal‐to‐noise ratio. It has been shown recently that the phase contrast not only depends on a tissue's magnetic susceptibility but also on its architecture, which offers new ways of studying biological tissues in vivo. We combined diffusion tensor imaging and multi‐echo susceptibility‐weighted imaging to investigate the relationship between white matter fibre orientation and gradient‐echo phase and magnitude. The local angle between white matter fibres and the main magnetic field was computed from the principal diffusion direction. The phase and signal decay of the gradient‐echo images revealed a characteristic relationship with fibre orientation. The phase is in agreement with a recently reported model of cerebral white matter phase contrast in MRI. Copyright © 2010 John Wiley & Sons, Ltd.</abstract>
<abstract type="graphical" lang="en">Susceptibility weighted imaging with multiple echoes was used to investigate phase and R2* signal decay as a function of white matter fibre orientation. The fibre orientation was measured using diffusion tensor imaging. The relationship between phase and the angle between white matter fibres and the main magnetic field is in good agreement with a generalized Lorentzian model for magnetic resonance frequency shifts in tissue.</abstract>
<subject lang="en"><genre>keywords</genre>
<topic>MRI phase contrast</topic>
<topic>diffusion tensor imaging</topic>
<topic>susceptibility‐weighted phase imaging</topic>
<topic>white matter</topic>
<topic>R2*</topic>
<topic>brain</topic>
</subject>
<relatedItem type="host"><titleInfo><title>NMR in Biomedicine</title>
</titleInfo>
<titleInfo type="abbreviated"><title>NMR Biomed.</title>
</titleInfo>
<genre type="journal">journal</genre>
<subject><genre>article-category</genre>
<topic>Research Article</topic>
</subject>
<identifier type="ISSN">0952-3480</identifier>
<identifier type="eISSN">1099-1492</identifier>
<identifier type="DOI">10.1002/(ISSN)1099-1492</identifier>
<identifier type="PublisherID">NBM</identifier>
<part><date>2011</date>
<detail type="volume"><caption>vol.</caption>
<number>24</number>
</detail>
<detail type="issue"><caption>no.</caption>
<number>3</number>
</detail>
<extent unit="pages"><start>246</start>
<end>252</end>
<total>7</total>
</extent>
</part>
</relatedItem>
<identifier type="istex">FACEF412A4BFAC30F14810D74E23320DA2533397</identifier>
<identifier type="DOI">10.1002/nbm.1581</identifier>
<identifier type="ArticleID">NBM1581</identifier>
<accessCondition type="use and reproduction" contentType="copyright">Copyright © 2010 John Wiley & Sons, Ltd.</accessCondition>
<recordInfo><recordContentSource>WILEY</recordContentSource>
<recordOrigin>John Wiley & Sons, Ltd.</recordOrigin>
</recordInfo>
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<serie></serie>
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