Integration and Application of Multimodal Measurement Techniques: Relevance of Photogrammetry to Orthodontics

Pojda, Dariusz; Tomaka, A.; Luchowski, Leszek; Tarnawski, Michał

doi:10.3390/s21238026

Cited by 16 publications

(10 citation statements)

References 43 publications

(73 reference statements)

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“…However, the cone-beam angle-dependent artifacts, mostly caused by the incompleteness of the projection data acquired in the circular cone-beam scan geometry, can induce significant errors in the 3D models.” [ 50 ]. Even research of Pojda et al, 2021, confirms the necessity of cheaper and more convenient alternatives to orthodontic facial 3D imaging [ 51 ]. Sensors for optical scanning and high-definition CT scanning (microCT) are frequently utilized on the borders of orthodontics and forensic dentistry in the identification of dental patterns, opening new possibilities of human remains identification [ 52 ].…”

Section: Discussionmentioning

confidence: 99%

Smartphone-Based Facial Scanning as a Viable Tool for Facially Driven Orthodontics?

Thurzo

Strunga

Havlínová

et al. 2022

Sensors

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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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Section: Discussionmentioning

confidence: 99%

Smartphone-Based Facial Scanning as a Viable Tool for Facially Driven Orthodontics?

Thurzo

Strunga

Havlínová

et al. 2022

Sensors

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show abstract

“…[40]. Even research of Pojda et al 2021 confirms necessity of cheaper and more convenient alternatives to orthodontic facial 3D imaging [41]. Sensors for optical scanning and high-definition CT scanning (microCT) are frequently utilized on the borders of orthodontics and forensic dentistry in identification of dental patterns opening new possibilities of human remains identification [42].…”

Section: Discussionmentioning

confidence: 99%

Smartphone-Based Facial Scanning as a Viable Tool for Facially Driven Orthodontics?

Thurzo¹,

Strunga²,

Havlínová³

et al. 2022

Preprint

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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 in 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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“…Scanning systems based on the photogrammetry technique are of interest to many industries. In the field of human scanning, it is possible to mention, among others, virtual fitting rooms [ 7 ], fitness and sport [ 8 ], education [ 9 ], as well as health and medicine [ 10 , 11 , 12 , 13 , 14 ]. Typically, as a result, the scanning of stationary models has been obtained, although attempts have also been made to create interactive models, which may be used, for example, in the education of anatomy [ 15 ].…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Influence of the Geometrical Parameters of the Body Scanner on the Accuracy of Reconstruction of the Human Figure Using the Photogrammetry Technique

Trojnacki¹,

Dąbek

Jaroszek³

2022

Sensors

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This article concerns the research of the HUBO full-body scanner, which includes the analysis and selection of the scanner’s geometrical parameters in order to obtain the highest possible accuracy of the reconstruction of a human figure. In the scanner version analyzed in this paper, smartphone cameras are used as sensors. In order to process the collected photos into a 3D model, the photogrammetry technique is applied. As part of the work, dependencies between the geometrical parameters of the scanner are derived, which allows to significantly reduce the number of degrees of freedom in the selection of its geometrical parameters. Based on these dependencies, a numerical analysis is carried out, as a result of which the initial values of the geometrical parameters are pre-selected and distribution of scanner cameras is visualized. As part of the experimental research, the influence of selected scanner parameters on the scanning accuracy is analyzed. For the experimental research, a specially prepared dummy was used instead of the participation of a real human, which allowed to ensure the constancy of the scanned object. The accuracy of the object reconstruction was assessed in relation to the reference 3D model obtained with a scanner of superior measurement uncertainty. On the basis of the conducted research, a method for the selection of the scanner’s geometrical parameters was finally verified, leading to the arrangement of cameras around a human, which guarantees high accuracy of the reconstruction. Additionally, to quantify the results, the quality rates were used, taking into account not only the obtained measurement uncertainty of the scanner, but also the processing time and the resulting efficiency.

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Integration and Application of Multimodal Measurement Techniques: Relevance of Photogrammetry to Orthodontics

Cited by 16 publications

References 43 publications

Smartphone-Based Facial Scanning as a Viable Tool for Facially Driven Orthodontics?

Smartphone-Based Facial Scanning as a Viable Tool for Facially Driven Orthodontics?

Smartphone-Based Facial Scanning as a Viable Tool for Facially Driven Orthodontics?

Analysis of the Influence of the Geometrical Parameters of the Body Scanner on the Accuracy of Reconstruction of the Human Figure Using the Photogrammetry Technique

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