Fotogrametria com smartphone – alternativa acessível para digitalizar modelos odontológicos
DOI:
https://doi.org/10.59681/2175-4411.v17.2025.1135Palavras-chave:
Desenho Assistido por Computador, Fotogrametria, SmartphoneResumo
Objetivo: Este artigo apresenta um protocolo simples e econômico para digitalização de modelos odontológicos utilizando smartphone e software gratuito dedicado. Métodos: Um modelo odontológico foi digitalizado por fotogrametria utilizando um smartphone, e por um scanner de laboratório. A Média Quadrática (RMS) foi utilizada para quantificar o desvio médio entre os métodos e avaliar a acurácia dos modelos digitais. Resultados: A comparação entre o modelo gerado e o mesmo modelo digitalizado com scanner de laboratório mostrou RMS entre 0,16mm e 0,37mm. O RMS entre três fotogrametrias consecutivas do smartphone variou de 0,16mm a 0,35mm. Conclusão: A digitalização por smartphone permitiu a digitalização do modelo odontológico e sua inserção no fluxo de trabalho digital para utilização no planejamento clínico odontológico.
Referências
Alauddin MS, Baharuddin AS, Mohd Ghazali MI. The Modern and Digital Transformation of Oral Health Care: A Mini Review. Healthcare. 2021; 9: 118. DOI: https://doi.org/10.3390/healthcare9020118
Tallarico M. Computerization and Digital Workflow in Medicine: Focus on Digital Dentistry. Materials. 2020; 13: 2172. DOI: https://doi.org/10.3390/ma13092172
Emir F, Ayyıldız S. Evaluation of the trueness and precision of eight extraoral laboratory scanners with a complete-arch model: a three-dimensional analysis. J Prosthodont Res. 2019; 63: 434-439. DOI: https://doi.org/10.1016/j.jpor.2019.03.001
Mangano F, Gandolfi A, Luongo G, et al. Intraoral scanners in dentistry: A review of the current literature. BMC Oral Health; 17. Epub ahead of print 2017. DOI: 10.1186/s12903-017-0442-x. DOI: https://doi.org/10.1186/s12903-017-0442-x
Fu X, Peng C, Li Z, et al. The application of multi-baseline digital close-range photogrammetry in three-dimensional imaging and measurement of dental casts. PLoS One; 12. Epub ahead of print 2017. DOI: 10.1371/journal.pone.0178858. DOI: https://doi.org/10.1371/journal.pone.0178858
Stuani VT, Ferreira R, Manfredi GGP, et al. Photogrammetry as an alternative for acquiring digital dental models: A proof of concept. Med Hypotheses. 2019; 128: 43-49. DOI: https://doi.org/10.1016/j.mehy.2019.05.015
Zotti F, Rosolin L, Bersani M, et al. Digital Dental Models: Is Photogrammetry an Alternative to Dental Extraoral and Intraoral Scanners? Dent J (Basel). Epub ahead of print 2022. DOI: 10.3390/dj10020024. DOI: https://doi.org/10.3390/dj10020024
Jindanil T, Xu L, Fontenele RC, et al. Smartphone applications for facial scanning: A technical and scoping review. Orthod Craniofac Res. 2024; 27: 65-87. DOI: https://doi.org/10.1111/ocr.12821
Chaudhary S, Kumar S, Aggarwal R, et al. Evaluation of the Accuracy of Digital Models Generated Using Photogrammetry. Cureus. Epub ahead of print 10 December 2024. DOI: 10.7759/cureus.75448. DOI: https://doi.org/10.7759/cureus.75448
Lee JD, Nguyen O, Lin Y-C, et al. Facial Scanners in Dentistry: An Overview. Prosthesis. 2022; 4: 664-678. DOI: https://doi.org/10.3390/prosthesis4040053
Hussein MO. Photogrammetry technology in implant dentistry: A systematic review. J Prosthet Dent. 2023; 130: 318-326. DOI: https://doi.org/10.1016/j.prosdent.2021.09.015
Kurniawan A, Chusida A, Utomo H, et al. 3D Bitemark Analysis in Forensic Odontology Utilizing a Smartphone Camera and Open-Source Monoscopic Photogrammetry Surface Scanning. Pesqui Bras Odontopediatria Clin Integr; 23. Epub ahead of print 2023. DOI: 10.1590/pboci.2023.001. DOI: https://doi.org/10.1590/pboci.2023.001
Mosa ASM, Yoo I, Sheets L. A systematic review of healthcare applications for smartphones. BMC Medical Informatics and Decision Making; 12. Epub ahead of print 2012. DOI: 10.1186/1472-6947-12-67. DOI: https://doi.org/10.1186/1472-6947-12-67
Hardan LS, Moussa C. Mobile dental photography: a simple technique for documentation and communication. Quintessence Int (Berl). 2020; 51: 510-518.
Teruya K, Park JH, Bay C. Dental photography using digital single-lens reflex cameras vs smartphones. AJO-DO Clinical Companion. 2025; 5: 26-34. DOI: https://doi.org/10.1016/j.xaor.2024.11.004
Emara A, Sharma N, Halbeisen FS, et al. Comparative evaluation of digitization of diagnostic dental cast (plaster) models using different scanning technologies. Dent J (Basel); 8. Epub ahead of print. 2020. DOI: 10.3390/DJ8030079. DOI: https://doi.org/10.3390/dj8030079
Papaspyridakos P, Chen Y, Alshawaf B, et al. Digital workflow: In vitro accuracy of 3D printed casts generated from complete-arch digital implant scans. J Prosthet Dent. 2020; 124: 589-593. DOI: https://doi.org/10.1016/j.prosdent.2019.10.029
Farook TH, Jamayet N bin, Asif JA, et al. Development and virtual validation of a novel digital workflow to rehabilitate palatal defects by using smartphone-integrated stereophotogrammetry (SPINS). Sci Rep; 11. Epub ahead of print. 2021. DOI: 10.1038/s41598-021-87240-9. DOI: https://doi.org/10.1038/s41598-021-87240-9
Saghiri MA, Saghiri AM, Samadi E, et al. Advancing 3D dental scanning: The use of photogrammetry with light detection and ranging for edentulous arches. J Prosthet Dent. Epub ahead of print December. 2024. DOI: 10.1016/j.prosdent.2024.10.032. DOI: https://doi.org/10.1016/j.prosdent.2024.10.032
Jiang Y, Long H, Soo SY, et al. Accuracy of Complete-Arch Scans Obtained by Intraoral Scanner and Smartphone Three-Dimensional Scanning Applications with Different Smartphone Position Setups: An In Vitro Study. Cureus. Epub ahead of print 29 June 2024. DOI: 10.7759/cureus.63471. DOI: https://doi.org/10.7759/cureus.63471
Al-Rudainy D, Adel Al-Lami H, Yang L. Validity and reliability of three-dimensional modeling of orthodontic dental casts using smartphone-based photogrammetric technology. J World Fed Orthod. 2023; 12: 9-14. DOI: https://doi.org/10.1016/j.ejwf.2022.11.002
Al-Tameemi R, Hamandi S, Al-Mahdi A. Creating a Digital 3D Model of the Dental Cast Using Structure-from-Motion Photogrammetry Technique. International Journal of Online and Biomedical Engineering (iJOE). 2023; 19: 4-17. DOI: https://doi.org/10.3991/ijoe.v19i03.36289
Schallenberger V, Maracci LM, Malta CP, et al. Smartphone Use for Tomographic Evaluation: Application in Endodontic Diagnosis. J Endod. Epub ahead of print 2022. DOI: 10.1016/j.joen.2022.01.017. DOI: https://doi.org/10.1016/j.joen.2022.01.017
Pascadopoli M, Zampetti P, Nardi MG, et al. Smartphone Applications in Dentistry: A Scoping Review. Dent J (Basel). 2023; 11: 243. DOI: https://doi.org/10.3390/dj11100243
Shilov L, Shanshin S, Romanov A, et al. Reconstruction of a 3D Human Foot Shape Model Based on a Video Stream Using Photogrammetry and Deep Neural Networks. Future Internet. 2021; 13: 315. DOI: https://doi.org/10.3390/fi13120315
Downloads
Publicado
Como Citar
Edição
Seção
Licença
Copyright (c) 2025 Wislem Miranda de Mello, Vinícius Dutra, Magáli Beck Guimarães, Jeannie M. Vickery, Gabriela Salatino Liedke
Este trabalho está licenciado sob uma licença Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
A submissão de um artigo ao Journal of Health Informatics é entendida como exclusiva e que não está sendo considerada para publicação em outra revista (Declaração de Exclusividade). A permissão dos autores para a publicação de seu artigo no J. Health Inform. implica na exclusiva autorização concedida aos editores para incluí-lo na revista. Ao submeter um artigo, ao autor será solicitada a permissão de um Termo de Transferência de Direitos de Publicação. Uma mensagem eletrônica será enviada ao autor correspondente confirmando o recibo do manuscrito e o aceite da Declaração de Direito de Publicação.
