Evaluation of the potential of automatic segmentation of the mandibular canal using cone-beam computed tomography.
Identifieur interne : 000D72 ( PubMed/Corpus ); précédent : 000D71; suivant : 000D73Evaluation of the potential of automatic segmentation of the mandibular canal using cone-beam computed tomography.
Auteurs : Nicolaas Lucius Gerlach ; Gerrit Jacobus Meijer ; Dirk-Jan Kroon ; Ewald Maria Bronkhorst ; Stefaan Jozef Bergé ; Thomas Jan Jaap MaalSource :
- The British journal of oral & maxillofacial surgery [ 1532-1940 ] ; 2014.
English descriptors
- KwdEn :
- Anatomy, Cross-Sectional, Bicuspid (anatomy & histology), Bicuspid (diagnostic imaging), Cadaver, Coloring Agents, Cone-Beam Computed Tomography (standards), Dental Arch (anatomy & histology), Dental Arch (diagnostic imaging), Dentition, Expert Systems, Humans, Image Processing, Computer-Assisted (standards), Jaw, Edentulous (diagnostic imaging), Jaw, Edentulous (pathology), Mandible (anatomy & histology), Mandible (diagnostic imaging), Methylene Blue, Molar (anatomy & histology), Molar (diagnostic imaging), Reference Values, Rosaniline Dyes, Software Validation.
- MESH :
- chemical : Coloring Agents, Methylene Blue, Rosaniline Dyes.
- anatomy & histology : Bicuspid, Dental Arch, Mandible, Molar.
- diagnostic imaging : Bicuspid, Dental Arch, Jaw, Edentulous, Mandible, Molar.
- pathology : Jaw, Edentulous.
- standards : Cone-Beam Computed Tomography, Image Processing, Computer-Assisted.
- Anatomy, Cross-Sectional, Cadaver, Dentition, Expert Systems, Humans, Reference Values, Software Validation.
Abstract
We aimed to investigate the effectiveness of software for automatically tracing the mandibular canal on data from cone-beam computed tomography (CT). After the data had been collected from one dentate and one edentate fresh cadaver head, both a trained Active Shape Model (ASM) and an Active Appearance Model (AAM) were used to automatically segment the canals from the mandibular to the mental foramen. Semiautomatic segmentation was also evaluated by providing the models with manual annotations of the foramina. To find out if the tracings were in accordance with the actual anatomy, we compared the position of the automatic mandibular canal segmentations, as displayed on cross-sectional cone-beam CT views, with histological sections of exactly the same region. The significance of differences between results were analysed with the help of Fisher's exact test and Pearson's correlation coefficient. When tracings based on AAM and ASM were used, differences between cone-beam CT and histological measurements varied up to 3.45mm and 4.44mm, respectively. Manual marking of the mandibular and mental foramina did not improve the results, and there were no significant differences (p=0.097) among the methods. The accuracy of automatic segmentation of the mandibular canal by the AAM and ASM methods is inadequate for use in clinical practice.
DOI: 10.1016/j.bjoms.2014.07.253
PubMed: 25156043
Links to Exploration step
pubmed:25156043Le document en format XML
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Electronic address: T.Maal@mka.umcn.nl.</nlm:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2014">2014</date><idno type="RBID">pubmed:25156043</idno><idno type="pmid">25156043</idno><idno type="doi">10.1016/j.bjoms.2014.07.253</idno><idno type="wicri:Area/PubMed/Corpus">000D72</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000D72</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Evaluation of the potential of automatic segmentation of the mandibular canal using cone-beam computed tomography.</title><author><name sortKey="Gerlach, Nicolaas Lucius" sort="Gerlach, Nicolaas Lucius" uniqKey="Gerlach N" first="Nicolaas Lucius" last="Gerlach">Nicolaas Lucius Gerlach</name><affiliation><nlm:affiliation>Department of Oral and Maxillofacial Surgery, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands; 3D Facial Imaging Research Group Nijmegen, The Netherlands.</nlm:affiliation></affiliation></author><author><name sortKey="Meijer, Gerrit Jacobus" sort="Meijer, Gerrit Jacobus" uniqKey="Meijer G" first="Gerrit Jacobus" last="Meijer">Gerrit Jacobus Meijer</name><affiliation><nlm:affiliation>Department of Oral and Maxillofacial Surgery, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands; 3D Facial Imaging Research Group Nijmegen, The Netherlands; Department of Periodontology and Biomaterials, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands.</nlm:affiliation></affiliation></author><author><name sortKey="Kroon, Dirk Jan" sort="Kroon, Dirk Jan" uniqKey="Kroon D" first="Dirk-Jan" last="Kroon">Dirk-Jan Kroon</name><affiliation><nlm:affiliation>University of Twente, Signals and Systems Group, The Netherlands.</nlm:affiliation></affiliation></author><author><name sortKey="Bronkhorst, Ewald Maria" sort="Bronkhorst, Ewald Maria" uniqKey="Bronkhorst E" first="Ewald Maria" last="Bronkhorst">Ewald Maria Bronkhorst</name><affiliation><nlm:affiliation>Department of Preventive and Curative Dentistry, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands.</nlm:affiliation></affiliation></author><author><name sortKey="Berge, Stefaan Jozef" sort="Berge, Stefaan Jozef" uniqKey="Berge S" first="Stefaan Jozef" last="Bergé">Stefaan Jozef Bergé</name><affiliation><nlm:affiliation>Department of Oral and Maxillofacial Surgery, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands; 3D Facial Imaging Research Group Nijmegen, The Netherlands.</nlm:affiliation></affiliation></author><author><name sortKey="Maal, Thomas Jan Jaap" sort="Maal, Thomas Jan Jaap" uniqKey="Maal T" first="Thomas Jan Jaap" last="Maal">Thomas Jan Jaap Maal</name><affiliation><nlm:affiliation>Department of Oral and Maxillofacial Surgery, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands; 3D Facial Imaging Research Group Nijmegen, The Netherlands. Electronic address: T.Maal@mka.umcn.nl.</nlm:affiliation></affiliation></author></analytic><series><title level="j">The British journal of oral & maxillofacial surgery</title><idno type="eISSN">1532-1940</idno><imprint><date when="2014" type="published">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Anatomy, Cross-Sectional</term><term>Bicuspid (anatomy & histology)</term><term>Bicuspid (diagnostic imaging)</term><term>Cadaver</term><term>Coloring Agents</term><term>Cone-Beam Computed Tomography (standards)</term><term>Dental Arch (anatomy & histology)</term><term>Dental Arch (diagnostic imaging)</term><term>Dentition</term><term>Expert Systems</term><term>Humans</term><term>Image Processing, Computer-Assisted (standards)</term><term>Jaw, Edentulous (diagnostic imaging)</term><term>Jaw, Edentulous (pathology)</term><term>Mandible (anatomy & histology)</term><term>Mandible (diagnostic imaging)</term><term>Methylene Blue</term><term>Molar (anatomy & histology)</term><term>Molar (diagnostic imaging)</term><term>Reference Values</term><term>Rosaniline Dyes</term><term>Software Validation</term></keywords><keywords scheme="MESH" type="chemical" xml:lang="en"><term>Coloring Agents</term><term>Methylene Blue</term><term>Rosaniline Dyes</term></keywords><keywords scheme="MESH" qualifier="anatomy & histology" xml:lang="en"><term>Bicuspid</term><term>Dental Arch</term><term>Mandible</term><term>Molar</term></keywords><keywords scheme="MESH" qualifier="diagnostic imaging" xml:lang="en"><term>Bicuspid</term><term>Dental Arch</term><term>Jaw, Edentulous</term><term>Mandible</term><term>Molar</term></keywords><keywords scheme="MESH" qualifier="pathology" xml:lang="en"><term>Jaw, Edentulous</term></keywords><keywords scheme="MESH" qualifier="standards" xml:lang="en"><term>Cone-Beam Computed Tomography</term><term>Image Processing, Computer-Assisted</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Anatomy, Cross-Sectional</term><term>Cadaver</term><term>Dentition</term><term>Expert Systems</term><term>Humans</term><term>Reference Values</term><term>Software Validation</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">We aimed to investigate the effectiveness of software for automatically tracing the mandibular canal on data from cone-beam computed tomography (CT). After the data had been collected from one dentate and one edentate fresh cadaver head, both a trained Active Shape Model (ASM) and an Active Appearance Model (AAM) were used to automatically segment the canals from the mandibular to the mental foramen. Semiautomatic segmentation was also evaluated by providing the models with manual annotations of the foramina. To find out if the tracings were in accordance with the actual anatomy, we compared the position of the automatic mandibular canal segmentations, as displayed on cross-sectional cone-beam CT views, with histological sections of exactly the same region. The significance of differences between results were analysed with the help of Fisher's exact test and Pearson's correlation coefficient. When tracings based on AAM and ASM were used, differences between cone-beam CT and histological measurements varied up to 3.45mm and 4.44mm, respectively. Manual marking of the mandibular and mental foramina did not improve the results, and there were no significant differences (p=0.097) among the methods. The accuracy of automatic segmentation of the mandibular canal by the AAM and ASM methods is inadequate for use in clinical practice.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">25156043</PMID><DateCompleted><Year>2015</Year><Month>08</Month><Day>20</Day></DateCompleted><DateRevised><Year>2016</Year><Month>11</Month><Day>25</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1532-1940</ISSN><JournalIssue CitedMedium="Internet"><Volume>52</Volume><Issue>9</Issue><PubDate><Year>2014</Year><Month>Nov</Month></PubDate></JournalIssue><Title>The British journal of oral & maxillofacial surgery</Title><ISOAbbreviation>Br J Oral Maxillofac Surg</ISOAbbreviation></Journal><ArticleTitle>Evaluation of the potential of automatic segmentation of the mandibular canal using cone-beam computed tomography.</ArticleTitle><Pagination><MedlinePgn>838-44</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.bjoms.2014.07.253</ELocationID><ELocationID EIdType="pii" ValidYN="Y">S0266-4356(14)00519-1</ELocationID><Abstract><AbstractText>We aimed to investigate the effectiveness of software for automatically tracing the mandibular canal on data from cone-beam computed tomography (CT). After the data had been collected from one dentate and one edentate fresh cadaver head, both a trained Active Shape Model (ASM) and an Active Appearance Model (AAM) were used to automatically segment the canals from the mandibular to the mental foramen. Semiautomatic segmentation was also evaluated by providing the models with manual annotations of the foramina. To find out if the tracings were in accordance with the actual anatomy, we compared the position of the automatic mandibular canal segmentations, as displayed on cross-sectional cone-beam CT views, with histological sections of exactly the same region. The significance of differences between results were analysed with the help of Fisher's exact test and Pearson's correlation coefficient. When tracings based on AAM and ASM were used, differences between cone-beam CT and histological measurements varied up to 3.45mm and 4.44mm, respectively. Manual marking of the mandibular and mental foramina did not improve the results, and there were no significant differences (p=0.097) among the methods. The accuracy of automatic segmentation of the mandibular canal by the AAM and ASM methods is inadequate for use in clinical practice.</AbstractText><CopyrightInformation>Copyright © 2014 The British Association of Oral and Maxillofacial Surgeons. Published by Elsevier Ltd. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Gerlach</LastName><ForeName>Nicolaas Lucius</ForeName><Initials>NL</Initials><AffiliationInfo><Affiliation>Department of Oral and Maxillofacial Surgery, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands; 3D Facial Imaging Research Group Nijmegen, The Netherlands.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Meijer</LastName><ForeName>Gerrit Jacobus</ForeName><Initials>GJ</Initials><AffiliationInfo><Affiliation>Department of Oral and Maxillofacial Surgery, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands; 3D Facial Imaging Research Group Nijmegen, The Netherlands; Department of Periodontology and Biomaterials, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Kroon</LastName><ForeName>Dirk-Jan</ForeName><Initials>DJ</Initials><AffiliationInfo><Affiliation>University of Twente, Signals and Systems Group, The Netherlands.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Bronkhorst</LastName><ForeName>Ewald Maria</ForeName><Initials>EM</Initials><AffiliationInfo><Affiliation>Department of Preventive and Curative Dentistry, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Bergé</LastName><ForeName>Stefaan Jozef</ForeName><Initials>SJ</Initials><AffiliationInfo><Affiliation>Department of Oral and Maxillofacial Surgery, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands; 3D Facial Imaging Research Group Nijmegen, The Netherlands.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Maal</LastName><ForeName>Thomas Jan Jaap</ForeName><Initials>TJ</Initials><AffiliationInfo><Affiliation>Department of Oral and Maxillofacial Surgery, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands; 3D Facial Imaging Research Group Nijmegen, The Netherlands. Electronic address: T.Maal@mka.umcn.nl.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D003160">Comparative Study</PublicationType><PublicationType UI="D023362">Evaluation Studies</PublicationType><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2014</Year><Month>08</Month><Day>22</Day></ArticleDate></Article><MedlineJournalInfo><Country>Scotland</Country><MedlineTA>Br J Oral Maxillofac Surg</MedlineTA><NlmUniqueID>8405235</NlmUniqueID><ISSNLinking>0266-4356</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D004396">Coloring Agents</NameOfSubstance></Chemical><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D012394">Rosaniline 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UI="D054893" MajorTopicYN="N">Cone-Beam Computed Tomography</DescriptorName><QualifierName UI="Q000592" MajorTopicYN="Y">standards</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D003724" MajorTopicYN="N">Dental Arch</DescriptorName><QualifierName UI="Q000033" MajorTopicYN="N">anatomy & histology</QualifierName><QualifierName UI="Q000000981" MajorTopicYN="N">diagnostic imaging</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D003817" MajorTopicYN="N">Dentition</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005103" MajorTopicYN="N">Expert Systems</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007091" MajorTopicYN="N">Image Processing, Computer-Assisted</DescriptorName><QualifierName UI="Q000592" MajorTopicYN="Y">standards</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D007575" MajorTopicYN="N">Jaw, Edentulous</DescriptorName><QualifierName UI="Q000000981" MajorTopicYN="N">diagnostic imaging</QualifierName><QualifierName UI="Q000473" MajorTopicYN="N">pathology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008334" MajorTopicYN="N">Mandible</DescriptorName><QualifierName UI="Q000033" MajorTopicYN="N">anatomy & histology</QualifierName><QualifierName UI="Q000000981" MajorTopicYN="Y">diagnostic imaging</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008751" MajorTopicYN="N">Methylene Blue</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008963" MajorTopicYN="N">Molar</DescriptorName><QualifierName UI="Q000033" MajorTopicYN="N">anatomy & histology</QualifierName><QualifierName UI="Q000000981" MajorTopicYN="N">diagnostic imaging</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D012016" MajorTopicYN="N">Reference Values</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012394" MajorTopicYN="N">Rosaniline Dyes</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012986" MajorTopicYN="N">Software Validation</DescriptorName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">3-dimensional imaging</Keyword><Keyword MajorTopicYN="N">Mandibular canal</Keyword><Keyword MajorTopicYN="N">automatic tracing</Keyword><Keyword MajorTopicYN="N">cadaver</Keyword><Keyword MajorTopicYN="N">cone-beam CT</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2013</Year><Month>12</Month><Day>30</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2014</Year><Month>07</Month><Day>25</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2014</Year><Month>8</Month><Day>27</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2014</Year><Month>8</Month><Day>27</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate 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