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

Author

Listed:
  • Hang-Nga Mai

    (Institute for Translational Research in Dentistry, Kyungpook National University, Daegu 41940, Korea)

  • Du-Hyeong Lee

    (Institute for Translational Research in Dentistry, Kyungpook National University, Daegu 41940, Korea
    Department of Prosthodontics, School of Dentistry, Kyungpook National University, Daegu 41940, Korea)

Abstract

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.

Suggested Citation

  • Hang-Nga Mai & Du-Hyeong Lee, 2020. "The Effect of Perioral Scan and Artificial Skin Markers on the Accuracy of Virtual Dentofacial Integration: Stereophotogrammetry Versus Smartphone Three-Dimensional Face-Scanning," IJERPH, MDPI, vol. 18(1), pages 1-12, December.
    • Handle: RePEc:gam:jijerp:v:18:y:2020:i:1:p:229-:d:470642
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    References listed on IDEAS

    as
    1. Luca Lavorgna & Gabriele Cervino & Luca Fiorillo & Giovanni Di Leo & Giuseppe Troiano & Marco Ortensi & Luigi Galantucci & Marco Cicciù, 2019. "Reliability of a Virtual Prosthodontic Project Realized through a 2D and 3D Photographic Acquisition: An Experimental Study on the Accuracy of Different Digital Systems," IJERPH, MDPI, vol. 16(24), pages 1-15, December.
    2. Priscilla Medina-Sotomayor & Agustín Pascual M. & Isabel Camps A., 2018. "Accuracy of four digital scanners according to scanning strategy in complete-arch impressions," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-14, September.
    3. Vo Truong Nhu Ngoc & Dang-Khoa Tran & Truong Manh Dung & Nguyen Viet Anh & Vu Thi Nga & Le Quynh Anh & Nguyen Thi Thuy Hanh & Nguyen Phuong Linh & Hoang Ngoc Quynh & Dinh Toi Chu, 2020. "Perceptions of Dentists and Non-Professionals on Some Dental Factors Affecting Smile Aesthetics: A Study from Vietnam," IJERPH, MDPI, vol. 17(5), pages 1-10, March.
    4. Yi-jiao Zhao & Yu-xue Xiong & Yong Wang, 2017. "Three-Dimensional Accuracy of Facial Scan for Facial Deformities in Clinics: A New Evaluation Method for Facial Scanner Accuracy," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-13, January.
    5. Pokpong Amornvit & Sasiwimol Sanohkan, 2019. "The Accuracy of Digital Face Scans Obtained from 3D Scanners: An In Vitro Study," IJERPH, MDPI, vol. 16(24), pages 1-13, December.
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