Precision of a Hand-Held 3D Surface Scanner in Dry and Wet Skeletal Surfaces: An Ex Vivo Study

Probst, Jannis; Dritsas, Konstantinos; Halazonetis, Demetrios; Ren, Yijin; Katsaros, Christos; Gkantidis, Nikolaos (2022). Precision of a Hand-Held 3D Surface Scanner in Dry and Wet Skeletal Surfaces: An Ex Vivo Study. Diagnostics, 12(9), p. 2251. MDPI 10.3390/diagnostics12092251

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Three-dimensional surface scans of skeletal structures have various clinical and research applications in medicine, anthropology, and other relevant fields. The aim of this study was to test the precision of a widely used hand-held surface scanner and the associated software’s 3D model generation-error in both dry and wet skeletal surfaces. Ten human dry skulls and ten mandibles (dry and wet conditions) were scanned twice with an industrial scanner (Artec Space Spider) by one operator. Following a best-fit superimposition of corresponding surface model pairs, the mean absolute distance (MAD) between them was calculated on ten anatomical regions on the skulls and six on the mandibles. The software’s 3D model generation process was repeated for the same scan of four dry skulls and four mandibles (wet and dry conditions), and the results were compared in a similar manner. The median scanner precision was 31 μm for the skulls and 25 μm for the mandibles in dry conditions, whereas in wet conditions it was slightly lower at 40 μm for the mandibles. The 3D model generation-error was negligible (range: 5–10 μm). The Artec Space Spider scanner exhibits very high precision in the scanning of dry and wet skeletal surfaces.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > School of Dental Medicine > Department of Orthodontics

UniBE Contributor:

Dritsas, Konstantinos, Katsaros, Christos, Gkantidis, Nikolaos

Subjects:

600 Technology > 610 Medicine & health

ISSN:

2075-4418

Publisher:

MDPI

Language:

English

Submitter:

Renate Imhof-Etter

Date Deposited:

22 Sep 2022 10:20

Last Modified:

05 Dec 2022 16:25

Publisher DOI:

10.3390/diagnostics12092251

BORIS DOI:

10.48350/173126

URI:

https://boris.unibe.ch/id/eprint/173126

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