Mapping intraoral photographs on virtual teeth model.

OBJECTIVES 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.

[1]  Guillermo Pradíes,et al.  Virtual facebow technique. , 2015, The Journal of prosthetic dentistry.

[2]  S. Jian,et al.  Intraoral Digital Impression Technique: A Review. , 2015, Journal of prosthodontics : official journal of the American College of Prosthodontists.

[3]  M. Mack Perspective of facial esthetics in dental treatment planning. , 1996, The Journal of prosthetic dentistry.

[4]  F D Jarad,et al.  The use of digital imaging for colour matching and communication in restorative dentistry , 2005, BDJ.

[5]  Paolo Cignoni,et al.  Mutual Correspondences: An Hybrid Method for Image-to-geometry Registration , 2010, Eurographics Italian Chapter Conference.

[6]  James Fondriest,et al.  Shade matching in restorative dentistry: the science and strategies. , 2003, The International journal of periodontics & restorative dentistry.

[7]  Albert Mehl,et al.  Virtual smile design systems: a current review. , 2015, International journal of computerized dentistry.

[8]  Christine Connolly,et al.  A study of efficiency and accuracy in the transformation from RGB to CIELAB color space , 1997, IEEE Trans. Image Process..

[9]  Henry W K Luk,et al.  A clinical technique for virtual articulator mounting with natural head position by using calibrated stereophotogrammetry. , 2017, The Journal of prosthetic dentistry.

[10]  Andrew Joiner,et al.  Tooth colour: a review of the literature. , 2004, Journal of dentistry.

[11]  Norkhafizah Saddki,et al.  Factors influencing patient satisfaction with dental appearance and treatments they desire to improve aesthetics , 2011, BMC oral health.

[12]  Øystein Fardal,et al.  Perceptions of patients' smiles: a comparison of patients' and dentists' opinions. , 2007, Journal of the American Dental Association.

[13]  Bassam Hassan,et al.  A digital approach integrating facial scanning in a CAD-CAM workflow for complete-mouth implant-supported rehabilitation of patients with edentulism: A pilot clinical study. , 2017, The Journal of prosthetic dentistry.

[14]  Delwin T. Lindsey,et al.  Color accuracy of commercial digital cameras for use in dentistry. , 2006, Dental materials : official publication of the Academy of Dental Materials.

[15]  C. Ripamonti,et al.  Computational Colour Science Using MATLAB , 2004 .

[16]  Allyson A Barrett,et al.  Visual and instrumental agreement in dental shade selection: three distinct observer populations and shade matching protocols. , 2009, Dental materials : official publication of the Academy of Dental Materials.

[17]  German O Gallucci,et al.  The virtual patient in dental medicine. , 2015, Clinical oral implants research.

[18]  Wei-Shao Lin,et al.  Integrating a facial scan, virtual smile design, and 3D virtual patient for treatment with CAD-CAM ceramic veneers: A clinical report. , 2017, The Journal of prosthetic dentistry.

[19]  Liran Levin,et al.  Patients' satisfaction with dental esthetics. , 2007, Journal of the American Dental Association.

[20]  Winnie W S Choi,et al.  A 2-part facebow for CAD-CAM dentistry. , 2016, The Journal of prosthetic dentistry.

[21]  W K Tam,et al.  Dental shade matching using a digital camera. , 2012, Journal of dentistry.

[22]  K. Alemzadeh,et al.  3D surface imaging in dentistry – what we are looking at , 2008, BDJ.

[23]  James L Ackerman,et al.  Smile analysis and design in the digital era. , 2002, Journal of clinical orthodontics : JCO.