Accuracy of facial skeletal surfaces segmented from CT and CBCT radiographs.

Ghamri, Mohammed; Dritsas, Konstantinos; Probst, Jannis; Jäggi, Maurus; Psomiadis, Symeon; Schulze, Ralf; Verna, Carlalberta; Katsaros, Christos; Halazonetis, Demetrios; Gkantidis, Nikolaos (2023). Accuracy of facial skeletal surfaces segmented from CT and CBCT radiographs. Scientific reports, 13(1), p. 21002. Springer Nature 10.1038/s41598-023-48320-0

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The accuracy of three-dimensional (3D) facial skeletal surface models derived from radiographic volumes has not been extensively investigated yet. For this, ten human dry skulls were scanned with two Cone Beam Computed Tomography (CBCT) units, a CT unit, and a highly accurate optical surface scanner that provided the true reference models. Water-filled head shells were used for soft tissue simulation during radiographic imaging. The 3D surface models that were repeatedly segmented from the radiographic volumes through a single-threshold approach were used for reproducibility testing. Additionally, they were compared to the true reference model for trueness measurement. Comparisons were performed through 3D surface approximation techniques, using an iterative closest point algorithm. Differences between surface models were assessed through the calculation of mean absolute distances (MAD) between corresponding surfaces and through visual inspection of facial surface colour-coded distance maps. There was very high reproducibility (approximately 0.07 mm) and trueness (0.12 mm on average, with deviations extending locally to 0.5 mm), and no difference between radiographic scanners or settings. The present findings establish the validity of lower radiation CBCT imaging protocols at a similar level to the conventional CT images, when 3D surface models are required for the assessment of facial morphology.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > School of Dental Medicine > Department of Orthodontics
04 Faculty of Medicine > School of Dental Medicine > Department of Oral Surgery and Stomatology

UniBE Contributor:

Ghamri, Mohammed Khalid H, Dritsas, Konstantinos, Schulze, Ralf Kurt Willy, Katsaros, Christos, Gkantidis, Nikolaos

Subjects:

600 Technology > 610 Medicine & health

ISSN:

2045-2322

Publisher:

Springer Nature

Language:

English

Submitter:

Pubmed Import

Date Deposited:

29 Nov 2023 14:17

Last Modified:

03 Dec 2023 02:31

Publisher DOI:

10.1038/s41598-023-48320-0

PubMed ID:

38017262

BORIS DOI:

10.48350/189526

URI:

https://boris.unibe.ch/id/eprint/189526

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