Photo [Neurosurgery Wiki]

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====== Photo ======


Obtaining 3D craniofacial [[morphometric data]] is essential in a variety of medical and educational disciplines. 
Quispe-Enriquez et al. explored [[smartphone]]-based [[photogrammetry]] with [[photo]]s and [[video]] [[recording]]s as an effective [[tool]] to create accurate and accessible metrics from head [[3D model]]s. The research involves the acquisition of craniofacial 3D models on both volunteers and head mannequins using a Samsung Galaxy S22 smartphone. For the photogrammetric processing, Agisoft Metashape v 1.7 and PhotoMeDAS software v 1.7 were used. The Academia 50 white-light scanner was used as reference data (ground truth). A comparison of the obtained 3D meshes was conducted, yielding the following results: 0.22 ± 1.29 mm for photogrammetry with camera photos, 0.47 ± 1.43 mm for videogrammetry with video frames, and 0.39 ± 1.02 mm for PhotoMeDAS. Similarly, anatomical points were measured and linear measurements extracted, yielding the following results: 0.75 mm for photogrammetry, 1 mm for videogrammetry, and 1.25 mm for PhotoMeDAS, despite large differences found in data acquisition and processing time among the four approaches. This study suggests the possibility of integrating [[photogrammetry]] either with photos or with [[video]] frames and the use of [[PhotoMeDAS]] to obtain overall craniofacial 3D models with significant applications in the medical fields of neurosurgery and maxillofacial surgery
((Quispe-Enriquez OC, Valero-Lanzuela JJ, Lerma JL. Craniofacial 3D Morphometric Analysis with Smartphone-Based Photogrammetry. Sensors (Basel). 2023 Dec 30;24(1):230. doi: 10.3390/s24010230. PMID: 38203091.)).