VisagiSMile - Dental Software for Digital Smile Design
Abstract
For achieving an optimal esthetic result from a dental treatment we need to create a suitable smile design that creates a perception which fulfills the esthetic expectations of the patient. It is also important that the teeth proportions to be correctly diagnosed and designed before an irreversible restorative dental procedure to be done.
Excellent quality digital smile design software products exist on the market. However these solutions do not apply in its fullness the visagism concept which produces a smile design in relation to the facial type and personality of the patient which is perceived as more harmonious. The visagism concept has been recently applied in the dental software “VisagiSMile” which helps clinicians to personalize and improve smile designs.
VisagiSMile is a software that automates the process of creating personalized digital smile design. VisagiSMile is a multiplatform web application for aesthetic dentistry which does not require installation, but only a simple registration process to get started. All cases and data are stored on a server to allow dentists to work on different devices and platforms – computers, tablets and smartphones. The research on the visagism concept is an ongoing process which constantly changes the requirements for the software. With the ongoing development of the software as an agile web application new versions are released every few weeks. Future plans include improvement of the accuracy of algorithms and of the teeth designs. Together with the product development, VisagiSMile’s user base also grows with over 1000 currently registered dentists.
References
2. Chapman, P., Clinton, J., Kerber, R., Khabaza, T., Reinartz, T., Shearer, C., Wirth, R., 2000, CRISP-DM 1.0, Step-by-step data mining guide, CRISP-DM consortium, eBook
3. Chu, St., 2007, A Biometric Approach To Predictable Treatment Of Clinical Crown Discrepancies. Pract Proced Aesthet Dent, 19, 7, 401– 409
4. Coachman, Ch., M. Calamita, 2012, Digital Smile Design: A Tool for Treatment Planning and Communication in Esthetic Dentistry. Quintessence of Dental Technology,35, 103 – 111.
5. DSD Virtual Lab, 2016, DSD 2D, http://dsdvirtuallab.com/#2d
6. Feraru M, Bichacho N, Muzella V., 2016, Individualizing a smile makeover. Current strategies for predictable results. Journal of Cosmetic Dentistry 32(1):109-119.
7. Gurel, G., Bichacho, N., 2006, Permanent diagnostic provisional restorations for predictable results when redesigning the smile. Pract. Proced. Aesthet Dent. 18(5): 281-286.
8. IBM, 2010, IBM SPSS Modeler 14.1 User's Guide, USA.
9. Iliev, G. Personalized Digital Smile Design for Predictable Aesthetic Results. Balkan Journal of Dental Medicine, 2016, 20, 172-177.
10. Iliev, G., Pavlova, J., Filtchev, D., Rangelov, S., Kocheva, B., Dimova, M., Nasif-Macci, S., Filchev, A. Types of dominance in frontal teeth in natural permanent dentition. Dental Medicine, 2015(2), 97: 122-132.
11. Iliev, G., J, Pavlova., D, Filtchev., S, Rangelov., B, Kocheva., M, Dimova., S, Nasif Maccii., A, Filtchev. Proportional Ratios between Widths, Heights and Areas of Maxillary Frontal Teeth. International Dental Journal. FDI World Dental Federation, 2016, 66 (1), 57-110
12. Lombard, R., 1973, The principles of visua lperception and thе clinical application to denture aesthetics., J. Prosthet Dent, 29, 358-382.
13. Paolucci, B., Calamita, M., Coachman, Ch., Gurel,G., Shaider, A., Hallawell, Ph., 2012, Visagism: The art of dental composition. Quintessence of Dental Technology, 1,187-200
14. Planmeca, 2016, Planmeca Romexis® Smile Design, http://www.planmeca.com/smiledesign/digital-smiledesign/
15. Smile Designer Pro, 2016, https://www.smiledesignerpro.com/
16. Wolfrat S, Menzel H, Kern M., 2004, Inability to relate tooth form to face shapes and gender. Jurnal of Oral Sciences, 112 ,6 :471-476.
17. Yankov, B., G, Iliev., D, Filtchev., G, Gurel., B, Paolucci., A, Schayder., I, Misheva. Software Application for Smile Design Automation Using the Visagism Theory. Proceedings of the 17th International Conference on Computer Systems and Technologies, CompSysTech’16, June 23-24, Palermo, Italy, ACM International Conference Proceeding Series, Vol. 1164, ACM Inc., N.Y. USA, pages 237-244, doi>10.1145/2983468.2983521
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