ArticleAnnals of translational medicine2021
Three-dimensional facial scanner in the hands of patients: validation of a novel application on iPad/iPhone for three-dimensional imaging.
Article in Annals of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.
- Accuracy of Smartphone-Based Three-Dimensional Facial Scanning System: A Systematic Review.Aesthetic plastic surgery · 2024Pooled it
- Symmetry After Breast Reconstruction Surgery: A Comparison of Immediate vs. Delayed-Immediate Breast Reconstruction Using Smartphone-Based 3D Surface Imaging.Journal of clinical medicine · 2025Article
- Evaluating smartphone-based 3D imaging techniques for clinical application in oral and maxillofacial surgery: A comparative study with the vectra M5.Oral and maxillofacial surgery · 2025Article
- Smartphone-generated 3D facial images: reliable for routine assessment of the oronasal region of patients with cleft or mere convenience? A validation study.BMC oral health · 2024Article
- Smartphone applications for facial scanning: A technical and scoping review.Orthodontics & craniofacial research · 2024Article
- "Utility of Smartphone-based Three-dimensional Surface Imaging for Digital Facial Anthropometry".JPRAS open · 2024Article
- Comparison of three-dimensional imaging of the nose using three different 3D-photography systems: an observational study.Head & face medicine · 2024Observational
- Facial Scanning Accuracy with Stereophotogrammetry and Smartphone Technology in Children: A Systematic Review.Children (Basel, Switzerland) · 2022Review
- Reply to letter to the editor: "Annals of translational medicine · 2022Article
- The iPad/iPhone 3D photography app-a promising device, but how about its accuracy?Annals of translational medicine · 2022Article
- Artificial intelligence in oculoplastics: Novel applications and future prospects.Taiwan journal of ophthalmologyReview
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThree-dimensional (3D) photography plays an important role in surgical planning and postoperative evaluation. Commercial 3D facial scanners are expensive, and they require patients to come to the clinics for 3D photography. To solve this problem, we developed an iPad/iPhone application to enable patients to capture 3D images of themselves on their own. This study aimed to evaluate the validity and reproducibility of this novel imaging system.
methods3D images were taken on 20 volunteers using the novel imaging system. Twenty-one anthropometric parameters were measured using calipers (direct measurement) and 3D photographs (3D photogrammetry). The results were compared to assess the accuracy and bias of 3D photogrammetry. The reproducibility was evaluated by testing intra- and interobserver reliabilities. Furthermore, 3D virtual models obtained by the novel imaging system and Vectra H1 camera were compared by performing heat map analysis.
resultsThe 3D photogrammetric results showed excellent correlations with direct measurements. Most anthropometric parameters did not show statistically significant differences between the two methods. The 95% limits of agreement exceeded 2 mm in some parameters, especially those with large numbers, although their relative error measurements were very small. Intra- and interobserver reliabilities were high enough to ensure good reproducibility. The comparison of 3D models obtained by the novel imaging system and Vectra H1 camera showed that the mean distance and the mean RMS were 0.08 and 0.67 mm, respectively.
conclusionsThe novel 3D facial scanning system is validated to enable patients to take 3D images on their own. The imaging quality of the subnasale region needs further improvement. Future clinical applications include surgical planning, postoperative evaluation, and early diagnosis of diseases that affect facial appearance.
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