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Accuracy Evaluation of a Three‐Dimensional Model Generated from Patient‐Specific Monocular Video Data for Maxillofacial Prosthetic Rehabilitation: A Pilot Study
Author(s) -
Matsuo Moe,
Mine Yuichi,
Kawahara Kazuko,
Murayama Takeshi
Publication year - 2020
Publication title -
journal of prosthodontics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.902
H-Index - 60
eISSN - 1532-849X
pISSN - 1059-941X
DOI - 10.1111/jopr.13219
Subject(s) - photogrammetry , laser scanning , nose , monocular , computer vision , artificial intelligence , medicine , computer science , laser , surgery , physics , optics
Abstract Purpose To evaluate if the combination of a monoscopic photogrammetry technique and smartphone‐recorded monocular video data could be appropriately applied to maxillofacial prosthesis fabrication. Materials and Methods Smartphone video and laser scanning data were recorded for five healthy volunteers (24.1 ± 0.7 years). Three‐dimensional (3D) facial models were generated using photogrammetry software and a laser scanner. Smartphone‐recorded video data were used to generate a photogrammetric 3D model. The videos were recorded at two resolutions: 1080 × 1920 (high resolution) and 720 × 1280 pixels (low resolution). The lengths of five nasal component parts (nose height, nasal dorsum length, nasal column length, nasal ala length, and nose breadth) were compared in the photogrammetric 3D models (as the test model) and the laser scanned 3D models (as the validation model) using reverse engineering software. Results There was a significant difference in the nasal dorsum length between the test model and the validation model (high resolution; 95% confidence interval, 2.05‐5.07, Low resolution; confidence interval, 2.19‐5.69). In contrast to the nasal dorsum length, there were no significant differences in nose height, nose breadth, nasal ala length, and nasal column length. Conclusion Using smartphone‐recorded video data and a photogrammetry technique may be a promising technique to apply in the maxillofacial prosthetic rehabilitation workflow.