Validation of a computer modelled forensic facial reconstruction technique using CT data from live subjects: a pilot...

Area of Science:

• Forensic Anthropology
• Medical Imaging
• Computer Science

Background:

• Facial soft tissue reconstruction aids identification when decomposition hinders conventional methods.
• Applications include forensic identification and archaeological research.
• Advancements in 3D imaging, like cone beam computed tomography (CBCT), enable accuracy assessments using live subject data.

Purpose of the Study:

• To evaluate the accuracy of a 3D computer-modelled facial reconstruction technique.
• Utilized CBCT data from living individuals for validation.

Main Methods:

• Retrospective pilot study involving 10 patients (5 male, 5 female; mean age 23).
• Utilized pre-surgical CBCT data.
• Analyzed actual and reconstructed soft tissues using 3D software, comparing landmarks, linear/angular measurements, and surface meshes.

Main Results:

• No significant statistical differences found for 18/23 linear and 7/8 angular measurements (p<0.05).
• Procrustes superimposition identified potential issues with soft tissue depth and landmark positioning.
• Surface mesh analysis demonstrated objective assessment capability with 56-90% of faces showing <2.5mm error.

Conclusions:

• The 3D computer modelling technique shows promising accuracy for facial reconstruction.
• Further refinement, such as applying Procrustes superimposition to all mesh points, could enhance precision.
• This method offers an objective approach to virtual facial sculpture assessment.