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Article: Mapping intraoral photographs on virtual teeth model

TitleMapping intraoral photographs on virtual teeth model
Authors
Keywords3D model
Aesthetic dentistry
Image-to-geometry registration
Optical scanning
Photography
Shade matching
Surface scanning
Virtual patient model
Issue Date2018
PublisherElsevier Ltd. The Journal's web site is located at http://www.elsevier.com/locate/jdent
Citation
Journal of Dentistry, 2018, v. 79, p. 107-110 How to Cite?
AbstractObjectives: Tooth shade is crucial to patient satisfaction in aesthetic dentistry. Two-dimensional (2D) clinical photographs have been widely used to record patients’ tooth shade for creation of beautiful smile. However, in the digital workflow, 3D virtual teeth models in open file format contain only mesh information with no colour. This paper describes the mapping of colour information from the intraoral photographs onto the virtual teeth model. Methods: Intraoral photographs of occlusal and buccal views were taken using digital single lens reflex (SLR) camera with macro lens and ring flash. Photographs were calibrated for its colour and white balance. Virtual models were generated by scanning teeth/stone casts using an intraoral/model scanner. Intraoral photographs were mapped onto the virtual model using the image-to-geometry registration method by locating corresponding feature points in the 2D and 3D images. Results: Virtual teeth models of dentate (with and without crowding) and partially dentate patients were mapped with intraoral photographs. The resultant models are open file format and can be viewed and manipulated in dental or generic CAD/CAM software. Moreover, RGB (Red Green Blue) colour information and error of registration can be retrieved. Conclusion: Image-to-geometry registration allows mapping of colour information in the 2D intraoral photographs on 3D virtual teeth models. The proposed method is applicable across scanning systems and the coloured model can be generated from stone casts and intraoral photographs. Clinical significance: Virtual teeth model with colour information facilitates shade matching and creation of beautiful smile.
Persistent Identifierhttp://hdl.handle.net/10722/272126
ISSN
2023 Impact Factor: 4.8
2023 SCImago Journal Rankings: 1.313
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLam, WYH-
dc.contributor.authorHsung, RTC-
dc.contributor.authorCheng, LYY-
dc.contributor.authorPow, EHN-
dc.date.accessioned2019-07-20T10:36:10Z-
dc.date.available2019-07-20T10:36:10Z-
dc.date.issued2018-
dc.identifier.citationJournal of Dentistry, 2018, v. 79, p. 107-110-
dc.identifier.issn0300-5712-
dc.identifier.urihttp://hdl.handle.net/10722/272126-
dc.description.abstractObjectives: Tooth shade is crucial to patient satisfaction in aesthetic dentistry. Two-dimensional (2D) clinical photographs have been widely used to record patients’ tooth shade for creation of beautiful smile. However, in the digital workflow, 3D virtual teeth models in open file format contain only mesh information with no colour. This paper describes the mapping of colour information from the intraoral photographs onto the virtual teeth model. Methods: Intraoral photographs of occlusal and buccal views were taken using digital single lens reflex (SLR) camera with macro lens and ring flash. Photographs were calibrated for its colour and white balance. Virtual models were generated by scanning teeth/stone casts using an intraoral/model scanner. Intraoral photographs were mapped onto the virtual model using the image-to-geometry registration method by locating corresponding feature points in the 2D and 3D images. Results: Virtual teeth models of dentate (with and without crowding) and partially dentate patients were mapped with intraoral photographs. The resultant models are open file format and can be viewed and manipulated in dental or generic CAD/CAM software. Moreover, RGB (Red Green Blue) colour information and error of registration can be retrieved. Conclusion: Image-to-geometry registration allows mapping of colour information in the 2D intraoral photographs on 3D virtual teeth models. The proposed method is applicable across scanning systems and the coloured model can be generated from stone casts and intraoral photographs. Clinical significance: Virtual teeth model with colour information facilitates shade matching and creation of beautiful smile.-
dc.languageeng-
dc.publisherElsevier Ltd. The Journal's web site is located at http://www.elsevier.com/locate/jdent-
dc.relation.ispartofJournal of Dentistry-
dc.subject3D model-
dc.subjectAesthetic dentistry-
dc.subjectImage-to-geometry registration-
dc.subjectOptical scanning-
dc.subjectPhotography-
dc.subjectShade matching-
dc.subjectSurface scanning-
dc.subjectVirtual patient model-
dc.titleMapping intraoral photographs on virtual teeth model-
dc.typeArticle-
dc.identifier.emailLam, WYH: retlaw@hku.hk-
dc.identifier.emailHsung, RTC: tchsung@hku.hk-
dc.identifier.emailCheng, LYY: yycheng@hku.hk-
dc.identifier.emailPow, EHN: ehnpow@hku.hk-
dc.identifier.authorityLam, WYH=rp02183-
dc.identifier.authorityCheng, LYY=rp01989-
dc.identifier.authorityPow, EHN=rp00030-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.jdent.2018.09.009-
dc.identifier.pmid30267860-
dc.identifier.scopuseid_2-s2.0-85054102455-
dc.identifier.hkuros299057-
dc.identifier.volume79-
dc.identifier.spage107-
dc.identifier.epage110-
dc.identifier.isiWOS:000451222200016-
dc.publisher.placeUnited Kingdom-
dc.identifier.issnl0300-5712-

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