Smartphone-Based Facial Scanning as a Viable Tool for Facially Driven Orthodontics?
The current paradigm shift in orthodontic treatment planning is based on facially driven diagnostics. This requires an affordable, convenient, and non-invasive solution for face scanning. Therefore, utilization of smartphones’ TrueDepth sensors is very tempting. TrueDepth refers to front-facing came...
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MDPI AG
2022-10-01
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Series: | Sensors |
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Online Access: | https://www.mdpi.com/1424-8220/22/20/7752 |
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author | Andrej Thurzo Martin Strunga Romana Havlínová Katarína Reháková Renata Urban Jana Surovková Veronika Kurilová |
author_facet | Andrej Thurzo Martin Strunga Romana Havlínová Katarína Reháková Renata Urban Jana Surovková Veronika Kurilová |
author_sort | Andrej Thurzo |
collection | DOAJ |
description | The current paradigm shift in orthodontic treatment planning is based on facially driven diagnostics. This requires an affordable, convenient, and non-invasive solution for face scanning. Therefore, utilization of smartphones’ TrueDepth sensors is very tempting. TrueDepth refers to front-facing cameras with a dot projector in Apple devices that provide real-time depth data in addition to visual information. There are several applications that tout themselves as accurate solutions for 3D scanning of the face in dentistry. Their clinical accuracy has been uncertain. This study focuses on evaluating the accuracy of the Bellus3D Dental Pro app, which uses Apple’s TrueDepth sensor. The app reconstructs a virtual, high-resolution version of the face, which is available for download as a 3D object. In this paper, sixty TrueDepth scans of the face were compared to sixty corresponding facial surfaces segmented from CBCT. Difference maps were created for each pair and evaluated in specific facial regions. The results confirmed statistically significant differences in some facial regions with amplitudes greater than 3 mm, suggesting that current technology has limited applicability for clinical use. The clinical utilization of facial scanning for orthodontic evaluation, which does not require accuracy in the lip region below 3 mm, can be considered. |
first_indexed | 2024-03-09T19:30:38Z |
format | Article |
id | doaj.art-54d884bdaa4c4fe7967b412b98bd8e90 |
institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-03-09T19:30:38Z |
publishDate | 2022-10-01 |
publisher | MDPI AG |
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series | Sensors |
spelling | doaj.art-54d884bdaa4c4fe7967b412b98bd8e902023-11-24T02:25:14ZengMDPI AGSensors1424-82202022-10-012220775210.3390/s22207752Smartphone-Based Facial Scanning as a Viable Tool for Facially Driven Orthodontics?Andrej Thurzo0Martin Strunga1Romana Havlínová2Katarína Reháková3Renata Urban4Jana Surovková5Veronika Kurilová6Department of Stomatology and Maxillofacial Surgery, Faculty of Medicine, Comenius University in Bratislava, 81250 Bratislava, SlovakiaDepartment of Stomatology and Maxillofacial Surgery, Faculty of Medicine, Comenius University in Bratislava, 81250 Bratislava, SlovakiaDepartment of Stomatology and Maxillofacial Surgery, Faculty of Medicine, Comenius University in Bratislava, 81250 Bratislava, SlovakiaDepartment of Stomatology and Maxillofacial Surgery, Faculty of Medicine, Comenius University in Bratislava, 81250 Bratislava, SlovakiaDepartment of Stomatology and Maxillofacial Surgery, Faculty of Medicine, Comenius University in Bratislava, 81250 Bratislava, SlovakiaDepartment of Stomatology and Maxillofacial Surgery, Faculty of Medicine, Comenius University in Bratislava, 81250 Bratislava, SlovakiaFaculty of Electrical Engineering and Information Technology, Slovak University of Technology, Ilkovičova 3, 81219 Bratislava, SlovakiaThe current paradigm shift in orthodontic treatment planning is based on facially driven diagnostics. This requires an affordable, convenient, and non-invasive solution for face scanning. Therefore, utilization of smartphones’ TrueDepth sensors is very tempting. TrueDepth refers to front-facing cameras with a dot projector in Apple devices that provide real-time depth data in addition to visual information. There are several applications that tout themselves as accurate solutions for 3D scanning of the face in dentistry. Their clinical accuracy has been uncertain. This study focuses on evaluating the accuracy of the Bellus3D Dental Pro app, which uses Apple’s TrueDepth sensor. The app reconstructs a virtual, high-resolution version of the face, which is available for download as a 3D object. In this paper, sixty TrueDepth scans of the face were compared to sixty corresponding facial surfaces segmented from CBCT. Difference maps were created for each pair and evaluated in specific facial regions. The results confirmed statistically significant differences in some facial regions with amplitudes greater than 3 mm, suggesting that current technology has limited applicability for clinical use. The clinical utilization of facial scanning for orthodontic evaluation, which does not require accuracy in the lip region below 3 mm, can be considered.https://www.mdpi.com/1424-8220/22/20/7752TrueDepthCBCTorthodonticsface scansmartphonefacial diagnostics |
spellingShingle | Andrej Thurzo Martin Strunga Romana Havlínová Katarína Reháková Renata Urban Jana Surovková Veronika Kurilová Smartphone-Based Facial Scanning as a Viable Tool for Facially Driven Orthodontics? Sensors TrueDepth CBCT orthodontics face scan smartphone facial diagnostics |
title | Smartphone-Based Facial Scanning as a Viable Tool for Facially Driven Orthodontics? |
title_full | Smartphone-Based Facial Scanning as a Viable Tool for Facially Driven Orthodontics? |
title_fullStr | Smartphone-Based Facial Scanning as a Viable Tool for Facially Driven Orthodontics? |
title_full_unstemmed | Smartphone-Based Facial Scanning as a Viable Tool for Facially Driven Orthodontics? |
title_short | Smartphone-Based Facial Scanning as a Viable Tool for Facially Driven Orthodontics? |
title_sort | smartphone based facial scanning as a viable tool for facially driven orthodontics |
topic | TrueDepth CBCT orthodontics face scan smartphone facial diagnostics |
url | https://www.mdpi.com/1424-8220/22/20/7752 |
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