Accuracy of Photogrammetric Three-Dimensional Facial Models Reconstruction Compared With Direct Anthropometry

NCT06897852 | Completed DMC

• 1 other identifier: AlAzharU-AZUD
• Study Type: observational
• Target: 50
• Locations: 1 country
• Sites: 1

Brief Summary

Accuracy of Two Different Photogrammetric Software for Three Dimensional Facial Model Reconstructions Compared with Direct Facial Anthropometry.

Conditions

Dental Malocclusion; Diagnosis; Facial Asymmetry

Keywords

facial scanning; photogrammetry; facial anthropometry

Outcome Measures

Primary Outcomes (2)

• Accuracy of Photogrammetry in Generating 3D Facial Models - Linear Measurements

  * A 3D model was generated for each volunteer using photogrammetry software. Anthropometric linear measurements was taken using a digital caliper, and photogrammetric linear measurements was extracted from the 3D model. * Two LEGO® blocks with uniform dimensions were attached to the participants' faces to scale the 3D model to actual metric dimensions. Unit of Measure: millimeters(mm)

  Baseline (procedure)

• Accuracy of Photogrammetry in Generating 3D Facial Models - Angular Measurements

  * This outcome measure focuses on the accuracy of photogrammetry in capturing and reproducing angular measurements of facial features. * Volunteers' 3D facial models were generated using photogrammetry software from multiple photos. * Two LEGO® blocks with uniform dimensions were attached to the forehead and cheek for scaling and reference. Angular measurements, based on these blocks, were extracted from the 3D model. The measurements were compared to validate the method's precision in reproducing angular dimensions. Unit of Measure: Degrees (°)

  Baseline (procedure)

Study Arms (3)

Direct facial anthropometry group

first photogrammetric software group

second photogrammetric software group

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

This study will be carried out on fifty volunteers, selected from outpatient clinic at Department of Orthodontics, Faculty of Dental Medicine, Al-Azhar University, Assiut branch; aged 18 years or older.

You may qualify if:

• Participants aged 18 or older

You may not qualify if:

• Presence of:
• Extensive facial hair (beards).
• Significant facial defects.
• Surgical scars.
• Neuromuscular disorders that may hinder stability of head during image acquisition.
• Accessories that could interfere with image acquisition.

Sponsors & Collaborators

• Al-Azhar University: lead

Study Sites (1)

Faculty of Dental Medicine, Al-Azhar University

Asyut, Egypt

Location

Related Publications (12)

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  PMID: 32116083 BACKGROUND

• Sarver DM. Interactions of hard tissues, soft tissues, and growth over time, and their impact on orthodontic diagnosis and treatment planning. Am J Orthod Dentofacial Orthop. 2015 Sep;148(3):380-6. doi: 10.1016/j.ajodo.2015.04.030.

  PMID: 26321335 BACKGROUND

• Mohan A, Sivakumar A, Nalabothu P. Evaluation of accuracy and reliability of OneCeph digital cephalometric analysis in comparison with manual cephalometric analysis-a cross-sectional study. BDJ Open. 2021 Jun 17;7(1):22. doi: 10.1038/s41405-021-00077-2.

  PMID: 34140466 BACKGROUND

• Kamburoglu K. Use of dentomaxillofacial cone beam computed tomography in dentistry. World J Radiol. 2015 Jun 28;7(6):128-30. doi: 10.4329/wjr.v7.i6.128.

  PMID: 26120381 BACKGROUND

• Jain S, Choudhary K, Nagi R, Shukla S, Kaur N, Grover D. New evolution of cone-beam computed tomography in dentistry: Combining digital technologies. Imaging Sci Dent. 2019 Sep;49(3):179-190. doi: 10.5624/isd.2019.49.3.179. Epub 2019 Sep 24.

  PMID: 31583200 BACKGROUND

• Mao WY, Lei J, Lim LZ, Gao Y, Tyndall DA, Fu K. Comparison of radiographical characteristics and diagnostic accuracy of intraosseous jaw lesions on panoramic radiographs and CBCT. Dentomaxillofac Radiol. 2021 Feb 1;50(2):20200165. doi: 10.1259/dmfr.20200165. Epub 2020 Sep 17.

  PMID: 32941743 BACKGROUND

• Struck R, Cordoni S, Aliotta S, Perez-Pachon L, Groning F. Application of Photogrammetry in Biomedical Science. Adv Exp Med Biol. 2019;1120:121-130. doi: 10.1007/978-3-030-06070-1_10.

  PMID: 30919299 BACKGROUND

• Heike CL, Upson K, Stuhaug E, Weinberg SM. 3D digital stereophotogrammetry: a practical guide to facial image acquisition. Head Face Med. 2010 Jul 28;6:18. doi: 10.1186/1746-160X-6-18.

  PMID: 20667081 BACKGROUND

• Erten O, Yilmaz BN. Three-Dimensional Imaging in Orthodontics. Turk J Orthod. 2018 Sep;31(3):86-94. doi: 10.5152/TurkJOrthod.2018.17041. Epub 2018 Apr 11.

  PMID: 30206567 BACKGROUND

• D'Ettorre G, Farronato M, Candida E, Quinzi V, Grippaudo C. A comparison between stereophotogrammetry and smartphone structured light technology for three-dimensional face scanning. Angle Orthod. 2022 May 1;92(3):358-363. doi: 10.2319/040921-290.1.

  PMID: 35015071 BACKGROUND

• 12- Arapovic-Savic M, Savic M, Umicevic-Davidovic M, Arbutina A, Nedeljkovic N, Glisic B. A novel method of photogrammetry measurements of study models in orthodontics. Srpski arhiv za celokupno lekarstvo. 2019;147(1):10-6.

  BACKGROUND

• Gupta A. On imaging modalities for cephalometric analysis: a review. Multimedia Tools and Applications. 2023 Mar 21:1-22.

  BACKGROUND

MeSH Terms

Conditions

Malocclusion; Disease; Facial Asymmetry

Condition Hierarchy (Ancestors)

Tooth Diseases; Stomatognathic Diseases; Pathologic Processes; Pathological Conditions, Signs and Symptoms; Pathological Conditions, Anatomical

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: OTHER
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Principal Investigator

Study Record Dates

• First Submitted: July 17, 2023
• First Posted: March 27, 2025
• Study Start: September 1, 2024
• Primary Completion: November 1, 2024
• Study Completion: January 1, 2025
• Last Updated: March 27, 2025

Record last verified: 2025-03

Locations

EG (1)