Validation of Vectra 3D Imaging Systems: A Review
Abstract
:1. Introduction
2. Materials and Methods
2.1. Research Strategy
- PubMed (www.pubmed.gov);
- Web Of Science (www.webofscience.com) among the following categories: surgery, dermatology, dentistry and oral surgery medicine, medicine research experimental, pathology, and multidisciplinary sciences;
- Scopus (www.scopus.com), among the categories medicine and dentistry.
2.2. Study Selection
- The first line of exclusion was performed based on the type of article (letters, comments, case reports/series and reviews were excluded); language (only articles in English were included); unavailability of abstract and article; article field (articles not regarding stereophotogrammetry were excluded). This phase led to the exclusion of 897 articles.
- Duplicates were excluded using Clarivate’s EndNote Online; additional duplicates found were removed manually. Articles removed as duplicate totaled 148.
- The second line of exclusion was applied to the remaining studies, which were subjected to abstract analysis; all the articles that were not relevant to the aim of the review were excluded. All the articles that did not validate Vectra devices’ acquisition accuracy in the facial region were excluded. After this process, 144 articles were excluded.
- The remaining 13 articles were subjected to full-text analysis. Three articles were excluded after this analysis: one article since it used software to detect artifacts and biases in the system as opposed as validating its accuracy [13], one as the validation was based on subjective parameters [14], and one because the study was performed on mannequin heads (i.e., not on human subjects) [15].
- Ten articles were included for the final revision. These were thoroughly analyzed by the reviewers and all the relevant data were collected and organized in a table (Microsoft® Office 365® Word).
2.3. Data Extraction
- ‘P’ (patients/problem/population)—studied population.
- ‘I’ (intervention)—stereophotogrammetry with Vectra 3D portable or static systems.
- ‘C’ (comparison)—if a comparison with another system was performed.
- ‘O’ (outcome)—evaluation of accuracy and reproducibility of Vectra 3D devices.
2.4. Defining Accuracy
- Trueness can be defined as closeness of agreement between the expectation of test results and a true value.
- Precision can be defined as the closeness of agreement between independent test results obtained under stipulated conditions and these conditions’ separate repeatability from reproducibility.
- ◦
- Repeatability is precision under conditions whereby independent test results are obtained using the same method on identical test or measurement items, in the same test or measuring facility, by the same operator using the same equipment within short intervals of time
- ◦
- Reproducibility is precision under conditions whereby independent test results are obtained with the same method on identical test or measurement facilities, with different operators using different equipment.
3. Results
3.1. Study Characteristics
3.2. Vectra Static Devices
3.3. Vectra H1
4. Discussion
5. Strengths and Limitations of the Study
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Vectra Device | Calibration | Features |
---|---|---|
H1 | Does not require a pre-calibrated coordinate system. Features a targeting system consisting of two converging green lights projected onto the subject’s face. Overlap of both lights indicates the correct shooting distance was obtained. | A single camera. A non-ionizing and handheld device that does not require any specific environment. It requires three consecutive acquisitions (two three-quarter profiles and a frontal one) in order to generate a 3D model [1]. |
M3 | Needed | Six cameras divided into three modules assembled on a triangular rigid structure. The capture system has a geometric resolution of 1.2 mm (polygon edge length), 3.5 milliseconds of capture time, intelligent flash units (on-board modular), passive stereophotogrammetry technology, ground support, a footstool and a Dell computer [9]. |
M5 360 | Needed | Five pods of cameras placed at different angulations from the subject. Each pod contains one color camera and one monochrome camera. These two-dimensional (2D) digital cameras capture the image simultaneously. Capture time is less than 2 ms [10]. |
XT | Needed | Three pods with a total of six cameras [11]. |
N° | Author/Year | Patients/Problem/Population | Intervention |
1 | Liu J. et al., 2021 [9] | 40 subjects (20 Caucasian and 20 Chinese) |
|
2 | Othman SA. et al., 2019 [10] | 37 cleft patients, 20 M, 17F, m.a. 23, 84 years. |
|
3 | Verhulst A. et al., 2017 [11] | 15 subjects, 6M and 9F, m.a. 37 ± 12 years. |
|
4 | Andrade LM. et al., 2017 [5] | 30 Brazilian adults, 5M and 25F, m.a. 26.7 ± 5.63. |
|
5 | Othman SA. et al., 2013 [4] | 30 Semai adults, 15M and 15F, aged 20 to 25 years |
|
6 | De Menezes M. et al., 2010 [2] | 10 healthy adults, 5M and 5F, aged from 20 to 30 years. |
|
N° | Comparison | Outcome | |
1 | Results were compared with a caliper |
| |
2 | Results were compared with a caliper |
| |
3 | Results were compared with 3dMDface system and Artec Eva |
| |
4 | None |
| |
5 | None |
| |
6 | None |
|
N° | Author/Year | Patients/Problem/Population | Intervention |
1 | Savoldelli C. et al., 2019 [6] | 2 adults, 1M and 1F, m.a. 23 years. |
|
2 | Liberton DK. et al., 2019 [1] | 10 subjects (adults and children), 3M and 7F, m.a. 30 years. |
|
3 | Gibelli D. et al., 2018 [8] | 50 adults, 16M and 34F, aged between 19 and 61 years. |
|
4 | Camison L. et al., 2017 [7] | 26 adults, 6M and 20F, m.a. 33.1 years. |
|
N° | Comparison | Outcome | |
1 | Results were compared with a caliper |
| |
2 | Results were compared with results from the 3dMD face system and with the ProFace laser scanning system. |
| |
3 | Results were compared with results from Vectra M3 (static) |
| |
4 | Results were compared with results from the 3dMD face system. Comparison was performed on both live patients and a static mannequin head. |
|
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De Stefani, A.; Barone, M.; Hatami Alamdari, S.; Barjami, A.; Baciliero, U.; Apolloni, F.; Gracco, A.; Bruno, G. Validation of Vectra 3D Imaging Systems: A Review. Int. J. Environ. Res. Public Health 2022, 19, 8820. https://doi.org/10.3390/ijerph19148820
De Stefani A, Barone M, Hatami Alamdari S, Barjami A, Baciliero U, Apolloni F, Gracco A, Bruno G. Validation of Vectra 3D Imaging Systems: A Review. International Journal of Environmental Research and Public Health. 2022; 19(14):8820. https://doi.org/10.3390/ijerph19148820
Chicago/Turabian StyleDe Stefani, Alberto, Martina Barone, Sam Hatami Alamdari, Arjola Barjami, Ugo Baciliero, Federico Apolloni, Antonio Gracco, and Giovanni Bruno. 2022. "Validation of Vectra 3D Imaging Systems: A Review" International Journal of Environmental Research and Public Health 19, no. 14: 8820. https://doi.org/10.3390/ijerph19148820
APA StyleDe Stefani, A., Barone, M., Hatami Alamdari, S., Barjami, A., Baciliero, U., Apolloni, F., Gracco, A., & Bruno, G. (2022). Validation of Vectra 3D Imaging Systems: A Review. International Journal of Environmental Research and Public Health, 19(14), 8820. https://doi.org/10.3390/ijerph19148820