Comparison of three-dimensional facial morphology between upright and supine positions employing three-dimensional scanner from live subjects. (July 2017)

• Record Type: Journal Article
• Authors: Bulut, Ozgur; Jessica Liu, Ching-Yiu; Koca, Fatih; Wilkinson, Caroline
• Is Part Of: Legal medicine. Volume 27(2017)
• Page Start: 32
• Page End: 37
• Publication Date: 2017-07
• Subjects: Forensic facial reconstruction -- Facial soft tissue thickness -- Facial scan -- Accuracy -- Volumetric analysis; Medical jurisprudence -- Periodicals; Forensic Medicine -- Periodicals; Médecine légale -- Périodiques; Medical jurisprudence; Periodicals; 614.1
• DOI: 10.1016/j.legalmed.2017.06.002
• Languages: English
• ISSNs: 1344-6223

Abstract

Highlights: Automated surface-to-surface comparison between upright and supine face scans showed specific area of differences. We determined that 7 landmarks of the face are required for validation. 84% of the face was within ±2.0 mm between the supine and upright 3D surface. Abstract: Facial soft tissue thicknesses (FSTT) measurements collected from Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) imaging techniques are most commonly taken in the supine position for forensic craniofacial reconstruction. FSTT have been shown to be different in comparison to the upright position due to gravity. The variation of facial morphology between the upright and supine position of laser-scanned images taken from 44 individuals was investigated using volumetric analysis with deviation maps. Between 82.4% and 86.7% of the facial surface area were within the error range of ±2 mm between the supine and the upright position. This indicates that most anatomical landmarks taken from the MRI and CT data can be an accurate representative of the FSTT in the upright position. Seven landmarks located around the buccal region, masseteric region and the nasolabial region of the face showed the greatest FSTT deviation between the upright and supine position, thus these landmarks may affect the accuracy of facial reconstructions when using a CT or MRI database.