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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Accuracy of software designed for automated localization of the inferior alveolar nerve canal on cone beam CT images</title><author><name sortKey="Bahrampour, Ehsan" sort="Bahrampour, Ehsan" uniqKey="Bahrampour E" first="Ehsan" last="Bahrampour">Ehsan Bahrampour</name><affiliation><nlm:aff id="aff1"></nlm:aff></affiliation></author><author><name sortKey="Zamani, Ali" sort="Zamani, Ali" uniqKey="Zamani A" first="Ali" last="Zamani">Ali Zamani</name><affiliation><nlm:aff id="aff2"></nlm:aff></affiliation></author><author><name sortKey="Kashkouli, Sadegh" sort="Kashkouli, Sadegh" uniqKey="Kashkouli S" first="Sadegh" last="Kashkouli">Sadegh Kashkouli</name><affiliation><nlm:aff id="aff3"></nlm:aff></affiliation></author><author><name sortKey="Soltanimehr, Elham" sort="Soltanimehr, Elham" uniqKey="Soltanimehr E" first="Elham" last="Soltanimehr">Elham Soltanimehr</name><affiliation><nlm:aff id="aff4"></nlm:aff></affiliation></author><author><name sortKey="Ghofrani Jahromi, Mohsen" sort="Ghofrani Jahromi, Mohsen" uniqKey="Ghofrani Jahromi M" first="Mohsen" last="Ghofrani Jahromi">Mohsen Ghofrani Jahromi</name><affiliation><nlm:aff id="aff2"></nlm:aff></affiliation></author><author><name sortKey="Sanaeian Pourshirazi, Zahra" sort="Sanaeian Pourshirazi, Zahra" uniqKey="Sanaeian Pourshirazi Z" first="Zahra" last="Sanaeian Pourshirazi">Zahra Sanaeian Pourshirazi</name><affiliation><nlm:aff id="aff2"></nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">26652929</idno><idno type="pmc">5083956</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5083956</idno><idno type="RBID">PMC:5083956</idno><idno type="doi">10.1259/dmfr.20150298</idno><date when="2016">2016</date><idno type="wicri:Area/Pmc/Corpus">000574</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000574</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Accuracy of software designed for automated localization of the inferior alveolar nerve canal on cone beam CT images</title><author><name sortKey="Bahrampour, Ehsan" sort="Bahrampour, Ehsan" uniqKey="Bahrampour E" first="Ehsan" last="Bahrampour">Ehsan Bahrampour</name><affiliation><nlm:aff id="aff1"></nlm:aff></affiliation></author><author><name sortKey="Zamani, Ali" sort="Zamani, Ali" uniqKey="Zamani A" first="Ali" last="Zamani">Ali Zamani</name><affiliation><nlm:aff id="aff2"></nlm:aff></affiliation></author><author><name sortKey="Kashkouli, Sadegh" sort="Kashkouli, Sadegh" uniqKey="Kashkouli S" first="Sadegh" last="Kashkouli">Sadegh Kashkouli</name><affiliation><nlm:aff id="aff3"></nlm:aff></affiliation></author><author><name sortKey="Soltanimehr, Elham" sort="Soltanimehr, Elham" uniqKey="Soltanimehr E" first="Elham" last="Soltanimehr">Elham Soltanimehr</name><affiliation><nlm:aff id="aff4"></nlm:aff></affiliation></author><author><name sortKey="Ghofrani Jahromi, Mohsen" sort="Ghofrani Jahromi, Mohsen" uniqKey="Ghofrani Jahromi M" first="Mohsen" last="Ghofrani Jahromi">Mohsen Ghofrani Jahromi</name><affiliation><nlm:aff id="aff2"></nlm:aff></affiliation></author><author><name sortKey="Sanaeian Pourshirazi, Zahra" sort="Sanaeian Pourshirazi, Zahra" uniqKey="Sanaeian Pourshirazi Z" first="Zahra" last="Sanaeian Pourshirazi">Zahra Sanaeian Pourshirazi</name><affiliation><nlm:aff id="aff2"></nlm:aff></affiliation></author></analytic><series><title level="j">Dentomaxillofacial Radiology</title><idno type="ISSN">0250-832X</idno><idno type="eISSN">1476-542X</idno><imprint><date when="2016">2016</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec><title>Objectives:</title><p>The aim of this study was to design and evaluate a new method for automated localization of the inferior alveolar nerve canal on CBCT images.</p></sec><sec><title>Methods:</title><p>The proposed method is based on traversing both panoramic and cross-sectional slices. For the panoramic slices, morphological skeletonization is imposed, and a modified Hough transform is used while traversing the cross-sectional slices. A total of 40 CBCT images were randomly selected. Two experts twice located the inferior alveolar nerve canal during two examinations set 6 weeks apart. Agreement between experts was achieved, and the result of this manual technique was considered the gold standard for our study. The distances for the automated method and those determined using the gold standard method were calculated and recorded. The mean time required for the automated detection was also recorded.</p></sec><sec><title>Results:</title><p>The average mean distance error from the baseline was 0.75 ± 0.34 mm. In all, 86% of the detected points had a mean error of <1 mm compared with those determined by the manual gold standard method.</p></sec><sec><title>Conclusions:</title><p>The proposed method is far more accurate and faster than previous methods. It also provides more accuracy than human annotation within a shorter time.</p></sec></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">Dentomaxillofac Radiol</journal-id><journal-id journal-id-type="iso-abbrev">Dentomaxillofac Radiol</journal-id><journal-id journal-id-type="publisher-id">dmfr</journal-id><journal-title-group><journal-title>Dentomaxillofacial Radiology</journal-title></journal-title-group><issn pub-type="ppub">0250-832X</issn><issn pub-type="epub">1476-542X</issn><publisher><publisher-name>The British Institute of Radiology.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">26652929</article-id><article-id pub-id-type="pmc">5083956</article-id><article-id pub-id-type="publisher-manuscript">D15298</article-id><article-id pub-id-type="doi">10.1259/dmfr.20150298</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group></article-categories><title-group><article-title>Accuracy of software designed for automated localization of the inferior alveolar nerve canal on cone beam CT images</article-title><alt-title alt-title-type="left-running-head">Automated localization of the IAN canal on CBCT images</alt-title><alt-title alt-title-type="right-running-head">Bahrampour <italic>et al</italic></alt-title></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name><surname>Bahrampour</surname><given-names>Ehsan</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><email xlink:href="e.bahrampour@gmail.com">e.bahrampour@gmail.com</email></contrib><contrib contrib-type="author"><name><surname>Zamani</surname><given-names>Ali</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref><email xlink:href="a_zamani2@yahoo.com">a_zamani2@yahoo.com</email></contrib><contrib contrib-type="author"><name><surname>Kashkouli</surname><given-names>Sadegh</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref><email xlink:href="sadi.ka422@gmail.com">sadi.ka422@gmail.com</email></contrib><contrib contrib-type="author"><name><surname>Soltanimehr</surname><given-names>Elham</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref><email xlink:href="e.soltanimehr@gmail.com">e.soltanimehr@gmail.com</email></contrib><contrib contrib-type="author"><name><surname>Ghofrani Jahromi</surname><given-names>Mohsen</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref><email xlink:href="ghofrani@sums.ac.ir">ghofrani@sums.ac.ir</email></contrib><contrib contrib-type="author"><name><surname>Sanaeian Pourshirazi</surname><given-names>Zahra</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref><email xlink:href="sanaeian_z@sums.ac.ir">sanaeian_z@sums.ac.ir</email></contrib><aff id="aff1"><label><sup>1</sup></label><addr-line>Department of Oral and Maxillofacial Radiology, School of Dentistry, Kermanshah University of Medical Sciences, Kermanshah, Iran</addr-line></aff><aff id="aff2"><label><sup>2</sup></label><addr-line>Department of Medical Physics and Biomedical Engineering, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran</addr-line></aff><aff id="aff3"><label><sup>3</sup></label><addr-line>School of Dentistry, Kermanshah University of Medical Sciences, Kermanshah, Iran</addr-line></aff><aff id="aff4"><label><sup>4</sup></label><addr-line>Department of Pediatric Dentistry, School of Dentistry, Kermanshah University of Medical Sciences, Kermanshah, Iran</addr-line></aff></contrib-group><author-notes><corresp id="cor1">Correspondence to: Dr Ali Zamani, E-mail: <email xlink:href="a_zamani2@yahoo.com">a_zamani2@yahoo.com</email></corresp></author-notes><pub-date pub-type="ppub"><month>2</month><year>2016</year></pub-date><pub-date pub-type="epub"><day>18</day><month>1</month><year>2016</year></pub-date><volume>45</volume><issue>2</issue><elocation-id>20150298</elocation-id><history><date date-type="received"><day>12</day><month>9</month><year>2015</year><string-date>Received on September 12, 2015</string-date></date><date date-type="rev-recd"><day>9</day><month>12</month><year>2015</year><string-date>Revised on December 9, 2015</string-date></date><date date-type="accepted"><day>10</day><month>12</month><year>2015</year><string-date>Accepted on December 10, 2015</string-date></date></history><permissions><copyright-statement>© 2015 The Authors. Published by the British Institute of Radiology</copyright-statement><copyright-year>2015</copyright-year><copyright-holder>The Authors</copyright-holder></permissions><self-uri content-type="pdf" xlink:href="dmfr.20150298.pdf"></self-uri><abstract><sec><title>Objectives:</title><p>The aim of this study was to design and evaluate a new method for automated localization of the inferior alveolar nerve canal on CBCT images.</p></sec><sec><title>Methods:</title><p>The proposed method is based on traversing both panoramic and cross-sectional slices. For the panoramic slices, morphological skeletonization is imposed, and a modified Hough transform is used while traversing the cross-sectional slices. A total of 40 CBCT images were randomly selected. Two experts twice located the inferior alveolar nerve canal during two examinations set 6 weeks apart. Agreement between experts was achieved, and the result of this manual technique was considered the gold standard for our study. The distances for the automated method and those determined using the gold standard method were calculated and recorded. The mean time required for the automated detection was also recorded.</p></sec><sec><title>Results:</title><p>The average mean distance error from the baseline was 0.75 ± 0.34 mm. In all, 86% of the detected points had a mean error of <1 mm compared with those determined by the manual gold standard method.</p></sec><sec><title>Conclusions:</title><p>The proposed method is far more accurate and faster than previous methods. It also provides more accuracy than human annotation within a shorter time.</p></sec></abstract><kwd-group><kwd>CBCT</kwd><x xml:space="preserve">; </x><kwd>automatic detection</kwd><x xml:space="preserve">; </x><kwd>inferior alveolar nerve canal</kwd></kwd-group><counts><fig-count count="6"></fig-count><table-count count="2"></table-count><ref-count count="24"></ref-count><page-count count="7"></page-count></counts></article-meta></front></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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