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                    <article article-type="research-article">
                    <front>
                        <journal-meta>
                        <journal-id journal-id-type="publisher-id">ei</journal-id>
                        <journal-title>Electronic Imaging</journal-title>
                        <issn pub-type="ppub">2470-1173</issn><issn pub-type="epub">2470-1173</issn>
                        <publisher>
                            <publisher-name>Society for Imaging Science and Technology</publisher-name>
                            <publisher-loc>IS&amp;T 7003 Kilworth Lane, Springfield, VA 22151 USA</publisher-loc>
                        </publisher>
                        </journal-meta>
                        <article-meta>
                        <article-id pub-id-type="doi">10.2352/EI.2022.34.17.3DIA-212</article-id>
                        <article-id pub-id-type="publisher-id">3DIA-212</article-id>
                        <article-categories>
                            <subj-group>
                            <subject>Article</subject>
                            </subj-group>
                        </article-categories>
                        <title-group>
                            <article-title>Pose estimation of teeth in pathological dental models</article-title>
                        </title-group><contrib-group content-type="all"><contrib contrib-type="author"><name>
                                <surname>Chapuis</surname>
                                <given-names>Maxime </given-names>
                               </name> <xref ref-type="aff" rid="aff1author1"/> <xref ref-type="aff" rid="aff2author1"/></contrib><aff id="aff1author1">Université de Montpellier, France</aff><aff id="aff2author1">Groupe Orqual, France</aff></contrib-group><contrib-group content-type="all"><contrib contrib-type="author"><name>
                                <surname>Lafourcade</surname>
                                <given-names>Mathieu </given-names>
                               </name> <xref ref-type="aff" rid="aff1author2"/></contrib><aff id="aff1author2">Université de Montpellier, France</aff></contrib-group><contrib-group content-type="all"><contrib contrib-type="author"><name>
                                <surname>Puech</surname>
                                <given-names>William </given-names>
                               </name> <xref ref-type="aff" rid="aff1author3"/></contrib><aff id="aff1author3">Université de Montpellier, France</aff></contrib-group><contrib-group content-type="all"><contrib contrib-type="author"><name>
                                <surname>Guillerm</surname>
                                <given-names>Gérard </given-names>
                               </name> <xref ref-type="aff" rid="aff2author4"/></contrib><aff id="aff2author4">Groupe Orqual, France</aff></contrib-group><contrib-group content-type="all"><contrib contrib-type="author"><name>
                                <surname>Faraj</surname>
                                <given-names>Noura </given-names>
                               </name> <xref ref-type="aff" rid="aff1author5"/></contrib><aff id="aff1author5">Université de Montpellier, France</aff></contrib-group><abstract>
                        <title>Abstract</title>
                        <p>In this work, we present a method to estimate the pose of teeth in pathological dental models. For each tooth of a pathological model, we aim at computing its orientation and position with respect to a healthy dentition. The proposed method is based on the registration of a reference model on a patient-specific 3D segmented mesh. Dental features, such as the arch forms and their types, are derived. These features, combined with registration information, allow our system to propose a plausible target dental arrangement and thus estimate the pose of each tooth. The key contributions of this work are (a) the use of a registered reference model to derive dental features and quantify orthodontic disorders and (b) the automatic estimation of a target dental arrangement.</p>
                        </abstract><pub-date>
                            <day>16</day>
                            <month>01</month>
                            <year>2022</year>
                            </pub-date><volume>34</volume>
                        <issue-acronym>3DIA</issue-acronym>
                        <issue>17</issue>
                        <fpage>212-1</fpage>
                        <lpage>212-6</lpage>
                        <permissions>
                             <copyright-statement>© 2022, Society for Imaging Science and Technology</copyright-statement>
                            <copyright-year>2022</copyright-year>
                        </permissions><kwd-group><kwd>Registration</kwd><kwd> Pose estimation</kwd><kwd> Medical Application</kwd><kwd> Dentistry</kwd></kwd-group></article-meta>
                    </front>
                    </article>