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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Development and clinical validation of a hybrid method for semiautomated left ventricle endocardial and epicardial boundary extraction on cine-magnetic resonance images</title><author><name sortKey="Messadi, Mahammed" sort="Messadi, Mahammed" uniqKey="Messadi M" first="Mahammed" last="Messadi">Mahammed Messadi</name><affiliation><nlm:aff id="aff1"><institution>Aboubakr Belkaid University</institution>, Biomedical Engineering Department, Tlemcen,<country>Algeria</country></nlm:aff></affiliation></author><author><name sortKey="Bessaid, Abdelhafid" sort="Bessaid, Abdelhafid" uniqKey="Bessaid A" first="Abdelhafid" last="Bessaid">Abdelhafid Bessaid</name><affiliation><nlm:aff id="aff1"><institution>Aboubakr Belkaid University</institution>, Biomedical Engineering Department, Tlemcen,<country>Algeria</country></nlm:aff></affiliation></author><author><name sortKey="Mariano Goulart, Denis" sort="Mariano Goulart, Denis" uniqKey="Mariano Goulart D" first="Denis" last="Mariano-Goulart">Denis Mariano-Goulart</name><affiliation><nlm:aff id="aff2"><institution>Montpellier University Hospital</institution>, Nuclear Medicine Department, Montpellier,<country>France</country></nlm:aff></affiliation></author><author><name sortKey="Bouallegue, Faycal Ben" sort="Bouallegue, Faycal Ben" uniqKey="Bouallegue F" first="Fayçal Ben" last="Bouallègue">Fayçal Ben Bouallègue</name><affiliation><nlm:aff id="aff2"><institution>Montpellier University Hospital</institution>, Nuclear Medicine Department, Montpellier,<country>France</country></nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">29662919</idno><idno type="pmc">5893796</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5893796</idno><idno type="RBID">PMC:5893796</idno><idno type="doi">10.1117/1.JMI.5.2.024002</idno><date when="2018">2018</date><idno type="wicri:Area/Pmc/Corpus">000137</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000137</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Development and clinical validation of a hybrid method for semiautomated left ventricle endocardial and epicardial boundary extraction on cine-magnetic resonance images</title><author><name sortKey="Messadi, Mahammed" sort="Messadi, Mahammed" uniqKey="Messadi M" first="Mahammed" last="Messadi">Mahammed Messadi</name><affiliation><nlm:aff id="aff1"><institution>Aboubakr Belkaid University</institution>, Biomedical Engineering Department, Tlemcen,<country>Algeria</country></nlm:aff></affiliation></author><author><name sortKey="Bessaid, Abdelhafid" sort="Bessaid, Abdelhafid" uniqKey="Bessaid A" first="Abdelhafid" last="Bessaid">Abdelhafid Bessaid</name><affiliation><nlm:aff id="aff1"><institution>Aboubakr Belkaid University</institution>, Biomedical Engineering Department, Tlemcen,<country>Algeria</country></nlm:aff></affiliation></author><author><name sortKey="Mariano Goulart, Denis" sort="Mariano Goulart, Denis" uniqKey="Mariano Goulart D" first="Denis" last="Mariano-Goulart">Denis Mariano-Goulart</name><affiliation><nlm:aff id="aff2"><institution>Montpellier University Hospital</institution>, Nuclear Medicine Department, Montpellier,<country>France</country></nlm:aff></affiliation></author><author><name sortKey="Bouallegue, Faycal Ben" sort="Bouallegue, Faycal Ben" uniqKey="Bouallegue F" first="Fayçal Ben" last="Bouallègue">Fayçal Ben Bouallègue</name><affiliation><nlm:aff id="aff2"><institution>Montpellier University Hospital</institution>, Nuclear Medicine Department, Montpellier,<country>France</country></nlm:aff></affiliation></author></analytic><series><title level="j">Journal of Medical Imaging</title><idno type="ISSN">2329-4302</idno><idno type="eISSN">2329-4310</idno><imprint><date when="2018">2018</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><title>Abstract.</title><p>We describe a hybrid method for left ventricle (LV) endocardial and epicardial segmentation on cardiac magnetic resonance (CMR) images requiring minimal operator intervention. Endocardium extraction results from the union of three independent estimations based on adaptive thresholding, region growing, and active contour with Chan—Vese energy function. Epicardium segmentation relies on conditional morphological dilation of the endocardial mask followed by active contour optimization. The proposed method was first evaluated using an open access database of 18 CMR for which expert manual contouring was available. The method was further validated on a retrospective cohort of 29 patients, who underwent CMR with expert manual segmentation. Regarding the open access database, similarity (Dice index) between hybrid and expert segmentations was good for end-diastolic (ED) endocardium (0.92), end-systolic (ES) endocardium (0.88), and ED epicardium (0.92). As for derived LV parameters, concordance (Lin’s coefficient) was good for ED volume (0.91), ES volume (0.93), ejection fraction (EF; 0.89), and fair for myocardial mass (MM; 0.74). Regarding the retrospective patient study, concordance between expert and hybrid estimations was excellent for ED volume (0.95), ES volume (0.96), good for EF (0.86), and fair for MM (0.71). Hybrid segmentation resulted in small biases (<inline-formula><mml:math id="math1"><mml:mrow><mml:mo form="prefix">−</mml:mo><mml:mn>6</mml:mn><mml:mtext> </mml:mtext><mml:mi>mL</mml:mi></mml:mrow></mml:math></inline-formula> for ED volume, <inline-formula><mml:math id="math2"><mml:mrow><mml:mo form="prefix">+</mml:mo><mml:mn>4</mml:mn><mml:mtext> </mml:mtext><mml:mi>mL</mml:mi></mml:mrow></mml:math></inline-formula> for ES volume, <inline-formula><mml:math id="math3"><mml:mrow><mml:mo form="prefix">−</mml:mo><mml:mn>6</mml:mn><mml:mo>%</mml:mo></mml:mrow></mml:math></inline-formula> for EF, and <inline-formula><mml:math id="math4"><mml:mrow><mml:mo form="prefix">−</mml:mo><mml:mn>6</mml:mn><mml:mtext> </mml:mtext><mml:mi mathvariant="normal">g</mml:mi></mml:mrow></mml:math></inline-formula> for MM) with little clinical relevance and acceptable for routine practice. The quickness and robustness of the proposed hybrid method and its ability to provide LV volumes, functions, and masses highly concordant with those given by expert segmentation support its pertinence for routine clinical use.</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>
<front><journal-meta><journal-id journal-id-type="nlm-ta">J Med Imaging (Bellingham)</journal-id><journal-id journal-id-type="iso-abbrev">J Med Imaging (Bellingham)</journal-id><journal-id journal-id-type="coden">JMIOBU</journal-id><journal-id journal-id-type="publisher-id">JMI</journal-id><journal-title-group><journal-title>Journal of Medical Imaging</journal-title></journal-title-group><issn pub-type="ppub">2329-4302</issn><issn pub-type="epub">2329-4310</issn><publisher><publisher-name>Society of Photo-Optical Instrumentation Engineers</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">29662919</article-id><article-id pub-id-type="pmc">5893796</article-id><article-id pub-id-type="doi">10.1117/1.JMI.5.2.024002</article-id><article-id pub-id-type="publisher-manuscript">JMI-17265R</article-id><article-id pub-id-type="publisher-id">17265R</article-id><article-categories><subj-group subj-group-type="heading"><subject>Image Processing</subject></subj-group><subj-group subj-group-type="SPIE-art-type"><subject>Paper</subject></subj-group></article-categories><title-group><article-title>Development and clinical validation of a hybrid method for semiautomated left ventricle endocardial and epicardial boundary extraction on cine-magnetic resonance images</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Messadi</surname><given-names>Mahammed</given-names></name><xref ref-type="aff" rid="aff1">a</xref><xref ref-type="other" rid="b1"></xref></contrib><contrib contrib-type="author"><name><surname>Bessaid</surname><given-names>Abdelhafid</given-names></name><xref ref-type="aff" rid="aff1">a</xref><xref ref-type="other" rid="b2"></xref></contrib><contrib contrib-type="author"><name><surname>Mariano-Goulart</surname><given-names>Denis</given-names></name><xref ref-type="aff" rid="aff2">b</xref><xref ref-type="other" rid="b3"></xref></contrib><contrib contrib-type="author"><name><surname>Bouallègue</surname><given-names>Fayçal Ben</given-names></name><xref ref-type="aff" rid="aff2">b</xref><xref ref-type="corresp" rid="cor1">*</xref><xref ref-type="other" rid="b4"></xref></contrib><aff id="aff1"><label>a</label><institution>Aboubakr Belkaid University</institution>, Biomedical Engineering Department, Tlemcen,<country>Algeria</country></aff><aff id="aff2"><label>b</label><institution>Montpellier University Hospital</institution>, Nuclear Medicine Department, Montpellier,<country>France</country></aff></contrib-group><author-notes><corresp id="cor1"><label>*</label>Address all correspondence to: Fayçal Ben Bouallègue, E-mail: <email>faybenb@hotmail.com</email></corresp></author-notes><pub-date pub-type="epub"><day>11</day><month>4</month><year>2018</year></pub-date><pub-date pub-type="ppub"><month>4</month><year>2018</year></pub-date><volume>5</volume><issue>2</issue><elocation-id>024002</elocation-id><history><date date-type="received"><day>10</day><month>9</month><year>2017</year></date><date date-type="accepted"><day>19</day><month>3</month><year>2018</year></date></history><permissions><copyright-statement>© 2018 Society of Photo-Optical Instrumentation Engineers (SPIE)</copyright-statement><copyright-year>2018</copyright-year><copyright-holder>Society of Photo-Optical Instrumentation Engineers</copyright-holder><license license-type="ccc"><license-p>2329-4302/2018/<price>$25.00</price> © 2018 SPIE</license-p></license></permissions><self-uri xlink:title="pdf" xlink:href="JMI_5_2_024002.pdf"></self-uri><abstract><title>Abstract.</title><p>We describe a hybrid method for left ventricle (LV) endocardial and epicardial segmentation on cardiac magnetic resonance (CMR) images requiring minimal operator intervention. Endocardium extraction results from the union of three independent estimations based on adaptive thresholding, region growing, and active contour with Chan—Vese energy function. Epicardium segmentation relies on conditional morphological dilation of the endocardial mask followed by active contour optimization. The proposed method was first evaluated using an open access database of 18 CMR for which expert manual contouring was available. The method was further validated on a retrospective cohort of 29 patients, who underwent CMR with expert manual segmentation. Regarding the open access database, similarity (Dice index) between hybrid and expert segmentations was good for end-diastolic (ED) endocardium (0.92), end-systolic (ES) endocardium (0.88), and ED epicardium (0.92). As for derived LV parameters, concordance (Lin’s coefficient) was good for ED volume (0.91), ES volume (0.93), ejection fraction (EF; 0.89), and fair for myocardial mass (MM; 0.74). Regarding the retrospective patient study, concordance between expert and hybrid estimations was excellent for ED volume (0.95), ES volume (0.96), good for EF (0.86), and fair for MM (0.71). Hybrid segmentation resulted in small biases (<inline-formula><mml:math id="math1"><mml:mrow><mml:mo form="prefix">−</mml:mo><mml:mn>6</mml:mn><mml:mtext> </mml:mtext><mml:mi>mL</mml:mi></mml:mrow></mml:math></inline-formula> for ED volume, <inline-formula><mml:math id="math2"><mml:mrow><mml:mo form="prefix">+</mml:mo><mml:mn>4</mml:mn><mml:mtext> </mml:mtext><mml:mi>mL</mml:mi></mml:mrow></mml:math></inline-formula> for ES volume, <inline-formula><mml:math id="math3"><mml:mrow><mml:mo form="prefix">−</mml:mo><mml:mn>6</mml:mn><mml:mo>%</mml:mo></mml:mrow></mml:math></inline-formula> for EF, and <inline-formula><mml:math id="math4"><mml:mrow><mml:mo form="prefix">−</mml:mo><mml:mn>6</mml:mn><mml:mtext> </mml:mtext><mml:mi mathvariant="normal">g</mml:mi></mml:mrow></mml:math></inline-formula> for MM) with little clinical relevance and acceptable for routine practice. The quickness and robustness of the proposed hybrid method and its ability to provide LV volumes, functions, and masses highly concordant with those given by expert segmentation support its pertinence for routine clinical use.</p></abstract><kwd-group><title>Keywords:</title><kwd>cardiac magnetic resonance</kwd><kwd>left ventricle segmentation</kwd><kwd>endocardium</kwd><kwd>epicardium</kwd></kwd-group><counts><fig-count count="5"></fig-count><table-count count="2"></table-count><ref-count count="36"></ref-count><page-count count="8"></page-count></counts><custom-meta-group><custom-meta><meta-name>running-head</meta-name><meta-value>Messadi et al.: Development and clinical validation of a hybrid method for semiautomated left ventricle endocardial…</meta-value></custom-meta></custom-meta-group></article-meta></front></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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