Reproducibility of multiphase pseudo-continuous arterial spin labeling and the effect of post-processing analysis methods.
Identifieur interne : 002727 ( PubMed/Checkpoint ); précédent : 002726; suivant : 002728Reproducibility of multiphase pseudo-continuous arterial spin labeling and the effect of post-processing analysis methods.
Auteurs : Amir Fazlollahi [France] ; Pierrick Bourgeat [Australie] ; Xiaoyun Liang [Australie] ; Fabrice Meriaudeau [France] ; Alan Connelly [Australie] ; Olivier Salvado [Australie] ; Fernando Calamante [Australie]Source :
- NeuroImage [ 1095-9572 ] ; 2015.
Descripteurs français
- KwdFr :
- MESH :
English descriptors
- KwdEn :
- MESH :
- chemical : Spin Labels.
- blood supply : Brain.
- methods : Image Processing, Computer-Assisted, Magnetic Resonance Imaging.
- Adult, Artifacts, Female, Humans, Image Enhancement, Male, Reproducibility of Results, Signal-To-Noise Ratio, Young Adult.
Abstract
Arterial spin labeling (ASL) is an emerging MRI technique for non-invasive measurement of cerebral blood flow (CBF). Compared to invasive perfusion imaging modalities, ASL suffers from low sensitivity due to poor signal-to-noise ratio (SNR), susceptibility to motion artifacts and low spatial resolution, all of which limit its reliability. In this work, the effects of various state of the art image processing techniques for addressing these ASL limitations are investigated. A processing pipeline consisting of motion correction, ASL motion correction imprecision removal, temporal and spatial filtering, partial volume effect correction, and CBF quantification was developed and assessed. To further improve the SNR for pseudo-continuous ASL (PCASL) by accounting for errors in tagging efficiency, the data from multiphase (MP) acquisitions were analyzed using a novel weighted-averaging scheme. The performances of each step in terms of SNR and reproducibility were evaluated using test-retest ASL data acquired from 12 young healthy subjects. The proposed processing pipeline was shown to improve the within-subject coefficient of variation and regional reproducibility by 17% and 16%, respectively, compared to CBF maps computed following motion correction but without the other processing steps. The CBF measurements of MP-PCASL compared to PCASL had on average 23% and 10% higher SNR and reproducibility, respectively.
DOI: 10.1016/j.neuroimage.2015.05.048
PubMed: 26026814
Affiliations:
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Le2I, University of Burgundy, Le Creusot, France. Electronic address: fazlollahi@gmail.com.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>CSIRO Digital Productivity Flagship, The Australian e-Health Research Centre, Herston, QLD, Australia; Le2I, University of Burgundy, Le Creusot</wicri:regionArea><wicri:noRegion>Le Creusot</wicri:noRegion><wicri:noRegion>Le Creusot</wicri:noRegion></affiliation></author><author><name sortKey="Bourgeat, Pierrick" sort="Bourgeat, Pierrick" uniqKey="Bourgeat P" first="Pierrick" last="Bourgeat">Pierrick Bourgeat</name><affiliation wicri:level="1"><nlm:affiliation>CSIRO Digital Productivity Flagship, The Australian e-Health Research Centre, Herston, QLD, Australia.</nlm:affiliation><country xml:lang="fr">Australie</country><wicri:regionArea>CSIRO Digital Productivity Flagship, The Australian e-Health Research Centre, Herston, QLD</wicri:regionArea><wicri:noRegion>QLD</wicri:noRegion></affiliation></author><author><name sortKey="Liang, Xiaoyun" sort="Liang, Xiaoyun" uniqKey="Liang X" first="Xiaoyun" last="Liang">Xiaoyun Liang</name><affiliation wicri:level="1"><nlm:affiliation>Florey Institute of Neuroscience and Mental Health, Heidelberg, Victoria, Australia.</nlm:affiliation><country xml:lang="fr">Australie</country><wicri:regionArea>Florey Institute of Neuroscience and Mental Health, Heidelberg, Victoria</wicri:regionArea><wicri:noRegion>Victoria</wicri:noRegion></affiliation></author><author><name sortKey="Meriaudeau, Fabrice" sort="Meriaudeau, Fabrice" uniqKey="Meriaudeau F" first="Fabrice" last="Meriaudeau">Fabrice Meriaudeau</name><affiliation wicri:level="1"><nlm:affiliation>Le2I, University of Burgundy, Le Creusot, France.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>Le2I, University of Burgundy, Le Creusot</wicri:regionArea><wicri:noRegion>Le Creusot</wicri:noRegion><wicri:noRegion>Le Creusot</wicri:noRegion></affiliation></author><author><name sortKey="Connelly, Alan" sort="Connelly, Alan" uniqKey="Connelly A" first="Alan" last="Connelly">Alan Connelly</name><affiliation wicri:level="4"><nlm:affiliation>Florey Institute of Neuroscience and Mental Health, Heidelberg, Victoria, Australia; Department of Medicine, Austin Health and Northern Health, University of Melbourne, Melbourne, Victoria, Australia.</nlm:affiliation><country xml:lang="fr">Australie</country><wicri:regionArea>Florey Institute of Neuroscience and Mental Health, Heidelberg, Victoria, Australia; Department of Medicine, Austin Health and Northern Health, University of Melbourne, Melbourne, Victoria</wicri:regionArea><orgName type="university">Université de Melbourne</orgName><placeName><settlement type="city">Melbourne</settlement><region type="état">Victoria (État)</region></placeName></affiliation></author><author><name sortKey="Salvado, Olivier" sort="Salvado, Olivier" uniqKey="Salvado O" first="Olivier" last="Salvado">Olivier Salvado</name><affiliation wicri:level="1"><nlm:affiliation>CSIRO Digital Productivity Flagship, The Australian e-Health Research Centre, Herston, QLD, Australia.</nlm:affiliation><country xml:lang="fr">Australie</country><wicri:regionArea>CSIRO Digital Productivity Flagship, The Australian e-Health Research Centre, Herston, QLD</wicri:regionArea><wicri:noRegion>QLD</wicri:noRegion></affiliation></author><author><name sortKey="Calamante, Fernando" sort="Calamante, Fernando" uniqKey="Calamante F" first="Fernando" last="Calamante">Fernando Calamante</name><affiliation wicri:level="4"><nlm:affiliation>Florey Institute of Neuroscience and Mental Health, Heidelberg, Victoria, Australia; Department of Medicine, Austin Health and Northern Health, University of Melbourne, Melbourne, Victoria, Australia.</nlm:affiliation><country xml:lang="fr">Australie</country><wicri:regionArea>Florey Institute of Neuroscience and Mental Health, Heidelberg, Victoria, Australia; Department of Medicine, Austin Health and Northern Health, University of Melbourne, Melbourne, Victoria</wicri:regionArea><orgName type="university">Université de Melbourne</orgName><placeName><settlement type="city">Melbourne</settlement><region type="état">Victoria (État)</region></placeName></affiliation></author></analytic><series><title level="j">NeuroImage</title><idno type="eISSN">1095-9572</idno><imprint><date when="2015" type="published">2015</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adult</term><term>Artifacts</term><term>Brain (blood supply)</term><term>Female</term><term>Humans</term><term>Image Enhancement</term><term>Image Processing, Computer-Assisted (methods)</term><term>Magnetic Resonance Imaging (methods)</term><term>Male</term><term>Reproducibility of Results</term><term>Signal-To-Noise Ratio</term><term>Spin Labels</term><term>Young Adult</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Adulte</term><term>Amélioration d'image</term><term>Artéfacts</term><term>Encéphale ()</term><term>Femelle</term><term>Humains</term><term>Imagerie par résonance magnétique ()</term><term>Jeune adulte</term><term>Marqueurs de spin</term><term>Mâle</term><term>Rapport signal-bruit</term><term>Reproductibilité des résultats</term><term>Traitement d'image par ordinateur ()</term></keywords><keywords scheme="MESH" type="chemical" xml:lang="en"><term>Spin Labels</term></keywords><keywords scheme="MESH" qualifier="blood supply" xml:lang="en"><term>Brain</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Image Processing, Computer-Assisted</term><term>Magnetic Resonance Imaging</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adult</term><term>Artifacts</term><term>Female</term><term>Humans</term><term>Image Enhancement</term><term>Male</term><term>Reproducibility of Results</term><term>Signal-To-Noise Ratio</term><term>Young Adult</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adulte</term><term>Amélioration d'image</term><term>Artéfacts</term><term>Encéphale</term><term>Femelle</term><term>Humains</term><term>Imagerie par résonance magnétique</term><term>Jeune adulte</term><term>Marqueurs de spin</term><term>Mâle</term><term>Rapport signal-bruit</term><term>Reproductibilité des résultats</term><term>Traitement d'image par ordinateur</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Arterial spin labeling (ASL) is an emerging MRI technique for non-invasive measurement of cerebral blood flow (CBF). Compared to invasive perfusion imaging modalities, ASL suffers from low sensitivity due to poor signal-to-noise ratio (SNR), susceptibility to motion artifacts and low spatial resolution, all of which limit its reliability. In this work, the effects of various state of the art image processing techniques for addressing these ASL limitations are investigated. A processing pipeline consisting of motion correction, ASL motion correction imprecision removal, temporal and spatial filtering, partial volume effect correction, and CBF quantification was developed and assessed. To further improve the SNR for pseudo-continuous ASL (PCASL) by accounting for errors in tagging efficiency, the data from multiphase (MP) acquisitions were analyzed using a novel weighted-averaging scheme. The performances of each step in terms of SNR and reproducibility were evaluated using test-retest ASL data acquired from 12 young healthy subjects. The proposed processing pipeline was shown to improve the within-subject coefficient of variation and regional reproducibility by 17% and 16%, respectively, compared to CBF maps computed following motion correction but without the other processing steps. The CBF measurements of MP-PCASL compared to PCASL had on average 23% and 10% higher SNR and reproducibility, respectively.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">26026814</PMID><DateCreated><Year>2015</Year><Month>07</Month><Day>22</Day></DateCreated><DateCompleted><Year>2016</Year><Month>04</Month><Day>15</Day></DateCompleted><DateRevised><Year>2015</Year><Month>07</Month><Day>22</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1095-9572</ISSN><JournalIssue CitedMedium="Internet"><Volume>117</Volume><PubDate><Year>2015</Year><Month>Aug</Month><Day>15</Day></PubDate></JournalIssue><Title>NeuroImage</Title><ISOAbbreviation>Neuroimage</ISOAbbreviation></Journal><ArticleTitle>Reproducibility of multiphase pseudo-continuous arterial spin labeling and the effect of post-processing analysis methods.</ArticleTitle><Pagination><MedlinePgn>191-201</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.neuroimage.2015.05.048</ELocationID><ELocationID EIdType="pii" ValidYN="Y">S1053-8119(15)00430-9</ELocationID><Abstract><AbstractText>Arterial spin labeling (ASL) is an emerging MRI technique for non-invasive measurement of cerebral blood flow (CBF). Compared to invasive perfusion imaging modalities, ASL suffers from low sensitivity due to poor signal-to-noise ratio (SNR), susceptibility to motion artifacts and low spatial resolution, all of which limit its reliability. In this work, the effects of various state of the art image processing techniques for addressing these ASL limitations are investigated. A processing pipeline consisting of motion correction, ASL motion correction imprecision removal, temporal and spatial filtering, partial volume effect correction, and CBF quantification was developed and assessed. To further improve the SNR for pseudo-continuous ASL (PCASL) by accounting for errors in tagging efficiency, the data from multiphase (MP) acquisitions were analyzed using a novel weighted-averaging scheme. The performances of each step in terms of SNR and reproducibility were evaluated using test-retest ASL data acquired from 12 young healthy subjects. The proposed processing pipeline was shown to improve the within-subject coefficient of variation and regional reproducibility by 17% and 16%, respectively, compared to CBF maps computed following motion correction but without the other processing steps. The CBF measurements of MP-PCASL compared to PCASL had on average 23% and 10% higher SNR and reproducibility, respectively.</AbstractText><CopyrightInformation>Copyright © 2015 Elsevier Inc. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Fazlollahi</LastName><ForeName>Amir</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>CSIRO Digital Productivity Flagship, The Australian e-Health Research Centre, Herston, QLD, Australia; Le2I, University of Burgundy, Le Creusot, France. Electronic address: fazlollahi@gmail.com.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Bourgeat</LastName><ForeName>Pierrick</ForeName><Initials>P</Initials><AffiliationInfo><Affiliation>CSIRO Digital Productivity Flagship, The Australian e-Health Research Centre, Herston, QLD, Australia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Liang</LastName><ForeName>Xiaoyun</ForeName><Initials>X</Initials><AffiliationInfo><Affiliation>Florey Institute of Neuroscience and Mental Health, Heidelberg, Victoria, Australia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Meriaudeau</LastName><ForeName>Fabrice</ForeName><Initials>F</Initials><AffiliationInfo><Affiliation>Le2I, University of Burgundy, Le Creusot, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Connelly</LastName><ForeName>Alan</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>Florey Institute of Neuroscience and Mental Health, Heidelberg, Victoria, Australia; Department of Medicine, Austin Health and Northern Health, University of Melbourne, Melbourne, Victoria, Australia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Salvado</LastName><ForeName>Olivier</ForeName><Initials>O</Initials><AffiliationInfo><Affiliation>CSIRO Digital Productivity Flagship, The Australian e-Health Research Centre, Herston, QLD, Australia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Calamante</LastName><ForeName>Fernando</ForeName><Initials>F</Initials><AffiliationInfo><Affiliation>Florey Institute of Neuroscience and Mental Health, Heidelberg, Victoria, Australia; Department of Medicine, Austin Health and Northern Health, University of Melbourne, Melbourne, Victoria, Australia.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2015</Year><Month>05</Month><Day>27</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>Neuroimage</MedlineTA><NlmUniqueID>9215515</NlmUniqueID><ISSNLinking>1053-8119</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D013113">Spin Labels</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D016477" MajorTopicYN="N">Artifacts</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D001921" MajorTopicYN="N">Brain</DescriptorName><QualifierName UI="Q000098" MajorTopicYN="Y">blood supply</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007089" MajorTopicYN="N">Image Enhancement</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007091" MajorTopicYN="N">Image Processing, Computer-Assisted</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008279" MajorTopicYN="N">Magnetic Resonance Imaging</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015203" MajorTopicYN="N">Reproducibility of Results</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D059629" MajorTopicYN="N">Signal-To-Noise Ratio</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D013113" MajorTopicYN="N">Spin Labels</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D055815" MajorTopicYN="N">Young Adult</DescriptorName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Arterial spin labeling</Keyword><Keyword MajorTopicYN="N">Cerebral blood flow</Keyword><Keyword MajorTopicYN="N">Multiphase pseudo-continuous arterial spin labeling</Keyword><Keyword MajorTopicYN="N">Perfusion MRI</Keyword><Keyword MajorTopicYN="N">Reproducibility</Keyword><Keyword MajorTopicYN="N">Test–retest</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2015</Year><Month>01</Month><Day>30</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2015</Year><Month>05</Month><Day>04</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2015</Year><Month>05</Month><Day>18</Day></PubMedPubDate><PubMedPubDate 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last="Fazlollahi">Amir Fazlollahi</name></noRegion><name sortKey="Meriaudeau, Fabrice" sort="Meriaudeau, Fabrice" uniqKey="Meriaudeau F" first="Fabrice" last="Meriaudeau">Fabrice Meriaudeau</name></country><country name="Australie"><noRegion><name sortKey="Bourgeat, Pierrick" sort="Bourgeat, Pierrick" uniqKey="Bourgeat P" first="Pierrick" last="Bourgeat">Pierrick Bourgeat</name></noRegion><name sortKey="Calamante, Fernando" sort="Calamante, Fernando" uniqKey="Calamante F" first="Fernando" last="Calamante">Fernando Calamante</name><name sortKey="Connelly, Alan" sort="Connelly, Alan" uniqKey="Connelly A" first="Alan" last="Connelly">Alan Connelly</name><name sortKey="Liang, Xiaoyun" sort="Liang, Xiaoyun" uniqKey="Liang X" first="Xiaoyun" last="Liang">Xiaoyun Liang</name><name sortKey="Salvado, Olivier" sort="Salvado, Olivier" uniqKey="Salvado O" first="Olivier" last="Salvado">Olivier Salvado</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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