Ultrasound 2D Strain Estimator Based on Image Registration for Ultrasound Elastography
Identifieur interne : 003587 ( Pmc/Corpus ); précédent : 003586; suivant : 003588Ultrasound 2D Strain Estimator Based on Image Registration for Ultrasound Elastography
Auteurs : Xiaofeng Yang ; Mylin Torres ; Stephanie Kirkpatrick ; Walter J. Curran ; Tian LiuSource :
- Proceedings of SPIE--the International Society for Optical Engineering [ 0277-786X ] ; 2014.
Abstract
In this paper, we present a new approach to calculate 2D strain through the registration of the pre- and post-compression (deformation) B-mode image sequences based on an intensity-based non-rigid registration algorithm (INRA). Compared with the most commonly used cross-correlation (CC) method, our approach is not constrained to any particular set of directions, and can overcome displacement estimation errors introduced by incoherent motion and variations in the signal under high compression. This INRA method was tested using phantom and
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DOI: 10.1117/12.2043865
PubMed: 25914492
PubMed Central: 4405672
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PMC:4405672Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Ultrasound 2D Strain Estimator Based on Image Registration for Ultrasound Elastography</title><author><name sortKey="Yang, Xiaofeng" sort="Yang, Xiaofeng" uniqKey="Yang X" first="Xiaofeng" last="Yang">Xiaofeng Yang</name></author><author><name sortKey="Torres, Mylin" sort="Torres, Mylin" uniqKey="Torres M" first="Mylin" last="Torres">Mylin Torres</name></author><author><name sortKey="Kirkpatrick, Stephanie" sort="Kirkpatrick, Stephanie" uniqKey="Kirkpatrick S" first="Stephanie" last="Kirkpatrick">Stephanie Kirkpatrick</name></author><author><name sortKey="Curran, Walter J" sort="Curran, Walter J" uniqKey="Curran W" first="Walter J." last="Curran">Walter J. Curran</name></author><author><name sortKey="Liu, Tian" sort="Liu, Tian" uniqKey="Liu T" first="Tian" last="Liu">Tian Liu</name></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">25914492</idno><idno type="pmc">4405672</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4405672</idno><idno type="RBID">PMC:4405672</idno><idno type="doi">10.1117/12.2043865</idno><date when="2014">2014</date><idno type="wicri:Area/Pmc/Corpus">003587</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">003587</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Ultrasound 2D Strain Estimator Based on Image Registration for Ultrasound Elastography</title><author><name sortKey="Yang, Xiaofeng" sort="Yang, Xiaofeng" uniqKey="Yang X" first="Xiaofeng" last="Yang">Xiaofeng Yang</name></author><author><name sortKey="Torres, Mylin" sort="Torres, Mylin" uniqKey="Torres M" first="Mylin" last="Torres">Mylin Torres</name></author><author><name sortKey="Kirkpatrick, Stephanie" sort="Kirkpatrick, Stephanie" uniqKey="Kirkpatrick S" first="Stephanie" last="Kirkpatrick">Stephanie Kirkpatrick</name></author><author><name sortKey="Curran, Walter J" sort="Curran, Walter J" uniqKey="Curran W" first="Walter J." last="Curran">Walter J. Curran</name></author><author><name sortKey="Liu, Tian" sort="Liu, Tian" uniqKey="Liu T" first="Tian" last="Liu">Tian Liu</name></author></analytic><series><title level="j">Proceedings of SPIE--the International Society for Optical Engineering</title><idno type="ISSN">0277-786X</idno><idno type="eISSN">1996-756X</idno><imprint><date when="2014">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p id="P1">In this paper, we present a new approach to calculate 2D strain through the registration of the pre- and post-compression (deformation) B-mode image sequences based on an intensity-based non-rigid registration algorithm (INRA). Compared with the most commonly used cross-correlation (CC) method, our approach is not constrained to any particular set of directions, and can overcome displacement estimation errors introduced by incoherent motion and variations in the signal under high compression. This INRA method was tested using phantom and <italic>in vivo</italic> data. The robustness of our approach was demonstrated in the axial direction as well as the lateral direction where the standard CC method frequently fails. In addition, our approach copes well under large compression (over 6%). In the phantom study, we computed the strain image under various compressions and calculated the signal-to-noise (SNR) and contrast-to-noise (CNS) ratios. The SNR and CNS values of the INRA method were much higher than those calculated from the CC-based method. Furthermore, the clinical feasibility of our approach was demonstrated with the <italic>in vivo</italic> data from patients with arm lymphedema.</p></div></front></TEI><pmc article-type="research-article"><pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
<pmc-dir>properties manuscript</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-journal-id">101524122</journal-id><journal-id journal-id-type="pubmed-jr-id">37467</journal-id><journal-id journal-id-type="nlm-ta">Proc SPIE Int Soc Opt Eng</journal-id><journal-id journal-id-type="iso-abbrev">Proc SPIE Int Soc Opt Eng</journal-id><journal-title-group><journal-title>Proceedings of SPIE--the International Society for Optical Engineering</journal-title></journal-title-group><issn pub-type="ppub">0277-786X</issn><issn pub-type="epub">1996-756X</issn></journal-meta><article-meta><article-id pub-id-type="pmid">25914492</article-id><article-id pub-id-type="pmc">4405672</article-id><article-id pub-id-type="doi">10.1117/12.2043865</article-id><article-id pub-id-type="manuscript">NIHMS669304</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Ultrasound 2D Strain Estimator Based on Image Registration for Ultrasound Elastography</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Yang</surname><given-names>Xiaofeng</given-names></name></contrib><contrib contrib-type="author"><name><surname>Torres</surname><given-names>Mylin</given-names></name></contrib><contrib contrib-type="author"><name><surname>Kirkpatrick</surname><given-names>Stephanie</given-names></name></contrib><contrib contrib-type="author"><name><surname>Curran</surname><given-names>Walter J.</given-names></name></contrib><contrib contrib-type="author"><name><surname>Liu</surname><given-names>Tian</given-names></name><xref ref-type="corresp" rid="CR1">*</xref></contrib><aff id="A1">Department of Radiation Oncology, Winship Cancer Institute, Emory University, Atlanta, GA 30322</aff></contrib-group><author-notes><corresp id="CR1"><label>*</label>Corresponding author: <email>tliu34@emory.edu</email></corresp></author-notes><pub-date pub-type="nihms-submitted"><day>6</day><month>3</month><year>2015</year></pub-date><pub-date pub-type="ppub"><day>20</day><month>3</month><year>2014</year></pub-date><pub-date pub-type="pmc-release"><day>22</day><month>4</month><year>2015</year></pub-date><volume>9040</volume><elocation-id>904018</elocation-id><permissions><copyright-statement>© 2014 SPIE</copyright-statement><copyright-year>2014</copyright-year></permissions><abstract><p id="P1">In this paper, we present a new approach to calculate 2D strain through the registration of the pre- and post-compression (deformation) B-mode image sequences based on an intensity-based non-rigid registration algorithm (INRA). Compared with the most commonly used cross-correlation (CC) method, our approach is not constrained to any particular set of directions, and can overcome displacement estimation errors introduced by incoherent motion and variations in the signal under high compression. This INRA method was tested using phantom and <italic>in vivo</italic> data. The robustness of our approach was demonstrated in the axial direction as well as the lateral direction where the standard CC method frequently fails. In addition, our approach copes well under large compression (over 6%). In the phantom study, we computed the strain image under various compressions and calculated the signal-to-noise (SNR) and contrast-to-noise (CNS) ratios. The SNR and CNS values of the INRA method were much higher than those calculated from the CC-based method. Furthermore, the clinical feasibility of our approach was demonstrated with the <italic>in vivo</italic> data from patients with arm lymphedema.</p></abstract><kwd-group><kwd>Ultrasound</kwd><kwd>elastography</kwd><kwd>strains imaging</kwd><kwd>image registration</kwd></kwd-group></article-meta></front></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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