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Scientific paper - Original scientific paper
Comparing Direct Measurements and Three-Dimensional (3D) Scans for Evaluating Facial Soft Tissue
Sensors, 23 (2023), 5; 2412. https://doi.org/10.3390/s23052412
Gašparović, Boris; Morelato, Luka; Lenac, Kristijan; Mauša, Goran; Zhurov, Alexei; Katić, Višnja

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Gašparović, B., Morelato, L., Lenac, K., Mauša, G., Zhurov, A. & Katić, V. (2023). Comparing Direct Measurements and Three-Dimensional (3D) Scans for Evaluating Facial Soft Tissue. Sensors, 23. (5). doi: 10.3390/s23052412

Gašparović, Boris, et al. "Comparing Direct Measurements and Three-Dimensional (3D) Scans for Evaluating Facial Soft Tissue." Sensors, vol. 23, no. 5, 2023. https://doi.org/10.3390/s23052412

Gašparović, Boris, Luka Morelato, Kristijan Lenac, Goran Mauša, Alexei Zhurov and Višnja Katić. "Comparing Direct Measurements and Three-Dimensional (3D) Scans for Evaluating Facial Soft Tissue." Sensors 23, no. 5 (2023). https://doi.org/10.3390/s23052412

Gašparović, B., et al. (2023) 'Comparing Direct Measurements and Three-Dimensional (3D) Scans for Evaluating Facial Soft Tissue', Sensors, 23(5). doi: 10.3390/s23052412

Gašparović B, Morelato L, Lenac K, Mauša G, Zhurov A, Katić V. Comparing Direct Measurements and Three-Dimensional (3D) Scans for Evaluating Facial Soft Tissue. Sensors [Internet]. 2023 February 22 [cited 2024 December 16];23(5). doi: 10.3390/s23052412

B. Gašparović, L. Morelato, K. Lenac, G. Mauša, A. Zhurov and V. Katić, "Comparing Direct Measurements and Three-Dimensional (3D) Scans for Evaluating Facial Soft Tissue", Sensors, vol. 23, no. 5, February 2023. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:271:557081. [Accessed: 16 December 2024]

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Metadata
Title (english)Comparing Direct Measurements and Three-Dimensional (3D) Scans for Evaluating Facial Soft Tissue
AuthorBoris Gašparović
AuthorLuka Morelato
AuthorKristijan Lenac
AuthorGoran Mauša
AuthorAlexei Zhurov
AuthorVišnja Katić
Author's institutionUniversity of Rijeka
(Faculty of Dental Medicine)
Scientific / art field,
discipline and subdiscipline		BIOMEDICINE AND HEALTHCARE
Dental Medicine
Abstract (english)
The inspection of patients’ soft tissues and the effects of various dental procedures on their facial physiognomy are quite challenging. To minimise discomfort and simplify the process of manual measuring, we performed facial scanning and computer measurement of experimentally determined demarcation lines. Images were acquired using a low-cost 3D scanner. Two consecutive scans were obtained from 39 participants, to test the scanner repeatability. An additional ten persons were scanned before and after forward movement of the mandible (predicted treatment outcome). Sensor technology that combines red, green, and blue (RGB) data with depth information (RGBD) integration was used for merging frames into a 3D object. For proper comparison, the resulting images were registered together, which was performed with ICP (Iterative Closest Point)-based techniques. Measurements on 3D images were performed using the exact distance algorithm. One operator measured the same demarcation lines directly on participants; repeatability was tested (intra-class correlations). The results showed that the 3D face scans were reproducible with high accuracy (mean difference between repeated scans
Keywords (english)
Languageenglish
Publication typeScientific paper - Original scientific paper
Publication statusPublished
Peer reviewPeer review - international
Publication versionPublished version
Journal titleSensors
Numberingvol. 23, no. 5, 2412
e-ISSN1424-8220
DOIhttps://doi.org/10.3390/s23052412
URN:NBNurn:nbn:hr:271:557081
Publication2023-02-22
ProjectNumber: UNIRI-biomed-18-71
Title (croatian): Kraniodentofacijalna biometrija - 2D i 3D tehnologija u identifikaciji, dijagnostici i terapiji
Leader: Višnja Katić
Jurisdiction: Croatia
Funding stream: Sveučilište u Rijeci
Document URLhttps://www.mdpi.com/1424-8220/23/5/2412
Type of resourceText
Access conditionsOpen access
Terms of useLicence Attribution 4.0 International (CC BY 4.0) icon
Created on2023-02-23 09:26:02