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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Main Authors: Andrej Thurzo, Martin Strunga, Romana Havlínová, Katarína Reháková, Renata Urban, Jana Surovková, Veronika Kurilová
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Sensors
Subjects:
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.
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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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