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One-second MRI of a three-dimensional vocal tract to measure dynamic articulator modifications.

Identifieur interne : 000027 ( Main/Exploration ); précédent : 000026; suivant : 000028

One-second MRI of a three-dimensional vocal tract to measure dynamic articulator modifications.

Auteurs : Michael Burdumy [Allemagne] ; Louisa Traser [Allemagne] ; Fabian Burk [Allemagne] ; Bernhard Richter [Allemagne] ; Matthias Echternach [Allemagne] ; Jan G. Korvink [Allemagne] ; Jürgen Hennig [Allemagne] ; Maxim Zaitsev [Allemagne]

Source :

RBID : pubmed:27943448

Descripteurs français

English descriptors

Abstract

PURPOSE

To enable three-dimensional (3D) vocal tract imaging of dynamic singing or speech tasks at voxel sizes of 1.6 × 1.6 × 1.3 mm

MATERIALS AND METHODS

A Stack-of-Stars method was implemented and enhanced to allow for fast and efficient k-space sampling of the box-shaped vocal tract using a 3 Tesla MRI system. Images were reconstructed using an off-line image reconstruction using compressed sensing theory, leading to the abovementioned spatial and temporal resolutions. To validate spatial resolution, a phantom with holes of defined sizes was measured. The applicability of the imaging method was validated in an eight-subject study of amateur singers that were required to sustain phonation at a constant pitch, past their comfortable expiratory level. A segmentation of the vocal tract over all phonation time steps was done for one subject. Anatomical distances (larynx position and pharynx width) were calculated and compared for all subjects.

RESULTS

Analysis of the phantom study revealed that the imaging method could provide at least 1.6 mm isotropic resolution. Visual inspection of the segmented vocal tract during phonation showed modifications of the lips, tongue, and larynx position in all three dimensions. The mean larynx position per subject amounted to 52-85 mm, deviating up to 5% over phonation time. Parameter pharynx width was 32-181 mm

CONCLUSION

The results of both phantom and in vivo measurements show the applicability of the fast 3D imaging method for voice research and indicate that modifications in all three dimensions can be observed and quantified.

LEVEL OF EVIDENCE

2 Technical Efficacy: Stage 1 J. MAGN. RESON. IMAGING 2017;46:94-101.


DOI: 10.1002/jmri.25561
PubMed: 27943448


Affiliations:


Links toward previous steps (curation, corpus...)


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<p>
<b>PURPOSE</b>
</p>
<p>To enable three-dimensional (3D) vocal tract imaging of dynamic singing or speech tasks at voxel sizes of 1.6 × 1.6 × 1.3 mm</p>
</div>
<div type="abstract" xml:lang="en">
<p>
<b>MATERIALS AND METHODS</b>
</p>
<p>A Stack-of-Stars method was implemented and enhanced to allow for fast and efficient k-space sampling of the box-shaped vocal tract using a 3 Tesla MRI system. Images were reconstructed using an off-line image reconstruction using compressed sensing theory, leading to the abovementioned spatial and temporal resolutions. To validate spatial resolution, a phantom with holes of defined sizes was measured. The applicability of the imaging method was validated in an eight-subject study of amateur singers that were required to sustain phonation at a constant pitch, past their comfortable expiratory level. A segmentation of the vocal tract over all phonation time steps was done for one subject. Anatomical distances (larynx position and pharynx width) were calculated and compared for all subjects.</p>
</div>
<div type="abstract" xml:lang="en">
<p>
<b>RESULTS</b>
</p>
<p>Analysis of the phantom study revealed that the imaging method could provide at least 1.6 mm isotropic resolution. Visual inspection of the segmented vocal tract during phonation showed modifications of the lips, tongue, and larynx position in all three dimensions. The mean larynx position per subject amounted to 52-85 mm, deviating up to 5% over phonation time. Parameter pharynx width was 32-181 mm</p>
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<div type="abstract" xml:lang="en">
<p>
<b>CONCLUSION</b>
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<p>The results of both phantom and in vivo measurements show the applicability of the fast 3D imaging method for voice research and indicate that modifications in all three dimensions can be observed and quantified.</p>
</div>
<div type="abstract" xml:lang="en">
<p>
<b>LEVEL OF EVIDENCE</b>
</p>
<p>2 Technical Efficacy: Stage 1 J. MAGN. RESON. IMAGING 2017;46:94-101.</p>
</div>
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<sup>3</sup>
at 1.3 s per image.</AbstractText>
<AbstractText Label="MATERIALS AND METHODS">A Stack-of-Stars method was implemented and enhanced to allow for fast and efficient k-space sampling of the box-shaped vocal tract using a 3 Tesla MRI system. Images were reconstructed using an off-line image reconstruction using compressed sensing theory, leading to the abovementioned spatial and temporal resolutions. To validate spatial resolution, a phantom with holes of defined sizes was measured. The applicability of the imaging method was validated in an eight-subject study of amateur singers that were required to sustain phonation at a constant pitch, past their comfortable expiratory level. A segmentation of the vocal tract over all phonation time steps was done for one subject. Anatomical distances (larynx position and pharynx width) were calculated and compared for all subjects.</AbstractText>
<AbstractText Label="RESULTS">Analysis of the phantom study revealed that the imaging method could provide at least 1.6 mm isotropic resolution. Visual inspection of the segmented vocal tract during phonation showed modifications of the lips, tongue, and larynx position in all three dimensions. The mean larynx position per subject amounted to 52-85 mm, deviating up to 5% over phonation time. Parameter pharynx width was 32-181 mm
<sup>2</sup>
on average per subject, deviating up to 16% over phonation time. Visual inspection of the parameter course revealed no common compensation strategy for long sustained phonation.</AbstractText>
<AbstractText Label="CONCLUSION">The results of both phantom and in vivo measurements show the applicability of the fast 3D imaging method for voice research and indicate that modifications in all three dimensions can be observed and quantified.</AbstractText>
<AbstractText Label="LEVEL OF EVIDENCE">2 Technical Efficacy: Stage 1 J. MAGN. RESON. IMAGING 2017;46:94-101.</AbstractText>
<CopyrightInformation>© 2016 International Society for Magnetic Resonance in Medicine.</CopyrightInformation>
</Abstract>
<AuthorList CompleteYN="Y">
<Author ValidYN="Y">
<LastName>Burdumy</LastName>
<ForeName>Michael</ForeName>
<Initials>M</Initials>
<AffiliationInfo>
<Affiliation>University Medical Center Freiburg, Department of Radiology, Medical Physics, Freiburg, Germany.</Affiliation>
</AffiliationInfo>
<AffiliationInfo>
<Affiliation>University Medical Center Freiburg, Institute of Musicians' Medicine, Freiburg, Germany.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Traser</LastName>
<ForeName>Louisa</ForeName>
<Initials>L</Initials>
<AffiliationInfo>
<Affiliation>University Medical Center Freiburg, Institute of Musicians' Medicine, Freiburg, Germany.</Affiliation>
</AffiliationInfo>
<AffiliationInfo>
<Affiliation>Department of Oto-Rhino-Laryngology, Head and Neck Surgery, University Medical Center, Freiburg, Germany.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Burk</LastName>
<ForeName>Fabian</ForeName>
<Initials>F</Initials>
<AffiliationInfo>
<Affiliation>University Medical Center Freiburg, Institute of Musicians' Medicine, Freiburg, Germany.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Richter</LastName>
<ForeName>Bernhard</ForeName>
<Initials>B</Initials>
<AffiliationInfo>
<Affiliation>University Medical Center Freiburg, Institute of Musicians' Medicine, Freiburg, Germany.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Echternach</LastName>
<ForeName>Matthias</ForeName>
<Initials>M</Initials>
<AffiliationInfo>
<Affiliation>University Medical Center Freiburg, Institute of Musicians' Medicine, Freiburg, Germany.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Korvink</LastName>
<ForeName>Jan G</ForeName>
<Initials>JG</Initials>
<AffiliationInfo>
<Affiliation>Institute of Microstructure Technology, Karlsruhe Institute of Technology, Karlsruhe, Germany.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Hennig</LastName>
<ForeName>Jürgen</ForeName>
<Initials>J</Initials>
<AffiliationInfo>
<Affiliation>University Medical Center Freiburg, Department of Radiology, Medical Physics, Freiburg, Germany.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Zaitsev</LastName>
<ForeName>Maxim</ForeName>
<Initials>M</Initials>
<AffiliationInfo>
<Affiliation>University Medical Center Freiburg, Department of Radiology, Medical Physics, Freiburg, Germany.</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>2016</Year>
<Month>12</Month>
<Day>09</Day>
</ArticleDate>
</Article>
<MedlineJournalInfo>
<Country>United States</Country>
<MedlineTA>J Magn Reson Imaging</MedlineTA>
<NlmUniqueID>9105850</NlmUniqueID>
<ISSNLinking>1053-1807</ISSNLinking>
</MedlineJournalInfo>
<CitationSubset>IM</CitationSubset>
<MeshHeadingList>
<MeshHeading>
<DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D007090" MajorTopicYN="N">Image Interpretation, Computer-Assisted</DescriptorName>
<QualifierName UI="Q000379" MajorTopicYN="N">methods</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D021621" MajorTopicYN="N">Imaging, Three-Dimensional</DescriptorName>
<QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D007830" MajorTopicYN="N">Larynx</DescriptorName>
<QualifierName UI="Q000033" MajorTopicYN="N">anatomy & histology</QualifierName>
<QualifierName UI="Q000000981" MajorTopicYN="Y">diagnostic imaging</QualifierName>
<QualifierName UI="Q000502" MajorTopicYN="Y">physiology</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D019028" MajorTopicYN="N">Magnetic Resonance Imaging, Cine</DescriptorName>
<QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D010614" MajorTopicYN="N">Pharynx</DescriptorName>
<QualifierName UI="Q000502" MajorTopicYN="Y">physiology</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D010699" MajorTopicYN="N">Phonation</DescriptorName>
<QualifierName UI="Q000502" MajorTopicYN="N">physiology</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D015203" MajorTopicYN="N">Reproducibility of Results</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D012680" MajorTopicYN="N">Sensitivity and Specificity</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D013060" MajorTopicYN="N">Speech</DescriptorName>
<QualifierName UI="Q000502" MajorTopicYN="Y">physiology</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D013068" MajorTopicYN="N">Speech Production Measurement</DescriptorName>
<QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName>
</MeshHeading>
</MeshHeadingList>
<KeywordList Owner="NOTNLM">
<Keyword MajorTopicYN="Y">radial trajectory</Keyword>
<Keyword MajorTopicYN="Y">real time imaging</Keyword>
<Keyword MajorTopicYN="Y">singer imaging</Keyword>
<Keyword MajorTopicYN="Y">speech MRI</Keyword>
<Keyword MajorTopicYN="Y">vocal tract</Keyword>
</KeywordList>
</MedlineCitation>
<PubmedData>
<History>
<PubMedPubDate PubStatus="received">
<Year>2016</Year>
<Month>08</Month>
<Day>26</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="accepted">
<Year>2016</Year>
<Month>11</Month>
<Day>08</Day>
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<Year>2016</Year>
<Month>12</Month>
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<Hour>6</Hour>
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<Year>2018</Year>
<Month>3</Month>
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<Hour>6</Hour>
<Minute>0</Minute>
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<PubMedPubDate PubStatus="entrez">
<Year>2016</Year>
<Month>12</Month>
<Day>13</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
</History>
<PublicationStatus>ppublish</PublicationStatus>
<ArticleIdList>
<ArticleId IdType="pubmed">27943448</ArticleId>
<ArticleId IdType="doi">10.1002/jmri.25561</ArticleId>
</ArticleIdList>
</PubmedData>
</pubmed>
<affiliations>
<list>
<country>
<li>Allemagne</li>
</country>
<region>
<li>Bade-Wurtemberg</li>
<li>District de Fribourg-en-Brisgau</li>
<li>District de Karlsruhe</li>
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<li>Karlsruhe</li>
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<tree>
<country name="Allemagne">
<region name="Bade-Wurtemberg">
<name sortKey="Burdumy, Michael" sort="Burdumy, Michael" uniqKey="Burdumy M" first="Michael" last="Burdumy">Michael Burdumy</name>
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<name sortKey="Burdumy, Michael" sort="Burdumy, Michael" uniqKey="Burdumy M" first="Michael" last="Burdumy">Michael Burdumy</name>
<name sortKey="Burk, Fabian" sort="Burk, Fabian" uniqKey="Burk F" first="Fabian" last="Burk">Fabian Burk</name>
<name sortKey="Echternach, Matthias" sort="Echternach, Matthias" uniqKey="Echternach M" first="Matthias" last="Echternach">Matthias Echternach</name>
<name sortKey="Hennig, Jurgen" sort="Hennig, Jurgen" uniqKey="Hennig J" first="Jürgen" last="Hennig">Jürgen Hennig</name>
<name sortKey="Korvink, Jan G" sort="Korvink, Jan G" uniqKey="Korvink J" first="Jan G" last="Korvink">Jan G. Korvink</name>
<name sortKey="Richter, Bernhard" sort="Richter, Bernhard" uniqKey="Richter B" first="Bernhard" last="Richter">Bernhard Richter</name>
<name sortKey="Traser, Louisa" sort="Traser, Louisa" uniqKey="Traser L" first="Louisa" last="Traser">Louisa Traser</name>
<name sortKey="Traser, Louisa" sort="Traser, Louisa" uniqKey="Traser L" first="Louisa" last="Traser">Louisa Traser</name>
<name sortKey="Zaitsev, Maxim" sort="Zaitsev, Maxim" uniqKey="Zaitsev M" first="Maxim" last="Zaitsev">Maxim Zaitsev</name>
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</record>

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