Virtual smile design tip: From 2D to 3D design with free software

Galibourg, Antoine; Brenes, Christian

doi:10.1016/j.prosdent.2018.10.021

Cited by 7 publications

(4 citation statements)

References 4 publications

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“…On the basis of facial and dental information in the digital photographs, facial reference lines and preferred tooth shapes can be made through the use of special image processing software [ 2 ]. However, since the software enables only 2D image creation, it is difficult to provide three-dimensional (3D) dental information and details of the corresponding facial structure [ 3 , 4 ]. With the rapid development of digital optical scanning technology, it has been possible for noncontact face-scanning devices to produce a 3D replica of human facial soft tissue [ 5 , 6 ].…”

Section: Introductionmentioning

confidence: 99%

Effects of Artificial Extraoral Markers on Accuracy of Three-Dimensional Dentofacial Image Integration: Smartphone Face Scan versus Stereophotogrammetry

Mai

Lee

2022

JPM

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Recently, three-dimensional (3D) facial scanning has been gaining popularity in personalized dentistry. Integration of the digital dental model into the 3D facial image allows for a treatment plan to be made in accordance with the patients’ individual needs. The aim of this study was to evaluate the effects of extraoral markers on the accuracy of digital dentofacial integrations. Facial models were generated using smartphone and stereophotogrammetry. Dental models were generated with and without extraoral markers and were registered to the facial models by matching the teeth or markers (n = 10 in each condition; total = 40). Accuracy of the image integration was measured in terms of general 3D position, occlusal plane, and dental midline deviations. The Mann–Whitney U test and two-way analysis of variance were used to compare results among face-scanning systems and matching methods (α = 0.05). As result, the accuracy of dentofacial registration was significantly affected by the use of artificial markers and different face-scanning systems (p < 0.001). The deviations were smallest in stereophotogrammetry with the marker-based matching and highest in smartphone face scans with the tooth-based matching. In comparison between the two face-scanning systems, the stereophotogrammetry generally produced smaller discrepancies than smartphones.

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Section: Introductionmentioning

confidence: 99%

Effects of Artificial Extraoral Markers on Accuracy of Three-Dimensional Dentofacial Image Integration: Smartphone Face Scan versus Stereophotogrammetry

Mai

Lee

2022

JPM

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“…A pre-visualization can be achieved by means of a conventional laboratory-made waxup and intraoral mock-up, in the form of a two-dimensional smile design by overlapping idealized teeth forms onto a portrait picture of the patient [7•]. Recently, a procedure using a three-dimensional facial scan of the patient was proposed, but this requires a lot of time and the ability to combine different software, which is not yet simple for all the prosthetic laboratories [8][9][10]. To overcome this problem, a solution using AR software was proposed, offering fast 3D conception and promising results [11,12].…”

Section: Introductionmentioning

confidence: 99%

Augmented Reality in Esthetic Dentistry: a Case Report

Touati

Fehmer

Ducret

et al. 2021

Curr Oral Health Rep

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Purpose of Review The aim of this case report was to illustrate the clinical procedure integrating augmented reality (AR) for complex patient cases requiring full mouth rehabilitation. Recent Findings The introduction of AR technology to the fields of medicine and dentistry has led to numerous applications in education, surgery, and esthetics. Recently, a new AR software was introduced in esthetic dentistry which allows for real-time smile projection and thus improves communication with patients and the dental laboratory. Summary The presented case shows a patient with multiple missing teeth, diastemata, and an impaired masticatory and phonetic ability. After reconstruction of the posterior zone, the AR software was used for the conception of the esthetic zone, integrating the patient into the decision-making process. The result was an esthetic rehabilitation applying palatal and buccal veneers which corresponded to the chosen AR design. The patient appreciated the opportunity to pre-visualize a possible final outcome in an interactive way which increased his confidence in the chosen treatment. Further studies are needed to assess the precision and reproducibility of the described protocol.

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“…Preferred teeth shapes can be recommended using the sketching function on the digital photographs. The digital 2D smile design provides a visual guide for esthetic rehabilitation planning from a facial perspective; however, difficulty in transferring the proposed design to the actual operation field remains a major concern [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

The Effect of Perioral Scan and Artificial Skin Markers on the Accuracy of Virtual Dentofacial Integration: Stereophotogrammetry Versus Smartphone Three-Dimensional Face-Scanning

Mai

Lee

2020

IJERPH

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This study evaluated the effects of different matching methods on the accuracy of dentofacial integration in stereophotogrammetry and smartphone face-scanning systems. The integration was done (N = 30) with different matching areas (n = 10), including teeth image only (TO), perioral area without markers (PN) and with markers (PM). The positional accuracy of the integrated models was assessed by measuring the midline linear deviations and incisal line canting between the experimental groups and laser scanner-based reference standards. Kruskal–Wallis and Mann–Whitney U tests were used for statistical analyses (α = 0.05). The PM method exhibited the smallest linear deviations in both systems; while the highest deviations were found in the TO in stereophotogrammetry; and in PN in smartphone. For the incisal line canting; the canting degree was the lowest in the PM method; followed by that in the TO and the PN in both systems. Although stereophotogrammetry generally exhibited higher accuracy than the smartphone; the two systems demonstrated no significant difference when the perioral areas were used for matching. The use of perioral scans with markers enables accurate dentofacial image integration; however; cautions should be given on the accuracy of the perioral image obtained without the use of markers.

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Virtual smile design tip: From 2D to 3D design with free software

Cited by 7 publications

References 4 publications

Effects of Artificial Extraoral Markers on Accuracy of Three-Dimensional Dentofacial Image Integration: Smartphone Face Scan versus Stereophotogrammetry

Effects of Artificial Extraoral Markers on Accuracy of Three-Dimensional Dentofacial Image Integration: Smartphone Face Scan versus Stereophotogrammetry

Augmented Reality in Esthetic Dentistry: a Case Report

The Effect of Perioral Scan and Artificial Skin Markers on the Accuracy of Virtual Dentofacial Integration: Stereophotogrammetry Versus Smartphone Three-Dimensional Face-Scanning

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