An evaluation of computer assisted skull re-assembly using hand held and automated laser scanners

  • Stenton Mackenzie

    Student thesis: Master's ThesisMaster of Science

    Abstract

    Computer assisted skull re-assembly is an alternative to classical manual methods of physical restoration and reconstruction. The technique is reliant on high quality images produced by radiological CT or optical surface laser scans. The accuracy of CAD reassembly and the contribution the technologies of image production make to the process are largely unevaluated. This research uses four 3D models produced by a hand held laser scanner (Scorpion FASTSCAN by Polhemus) and one model produced by an automated, stationary laser scanner (Minolta by Hyperfocal) to re-assemble 5 skulls using a computer modelling program (Freeform Modelling). Hand held scanning, model production and quality are assessed; skull restoration accuracy is described and quantified by a reverse engineering software program (Geomagic Qualify) which measures overlap between the contour shells of original and restored skulls. The level of acceptable accuracy for skulls which might support facial reconstruction following re-assembly was determined to be < +/- 2.0 mm of error. Crania and mandibles were assessed individually. Accuracy results for five crania were unacceptable (40%), acceptable (40%), and reasonable (20%). Results for five mandibles demonstrated accuracy which was acceptable (40%), reasonable (20%), and good (40%). Optimising CAD potential for skull restoration depends on further research which examines: 1) the affect upon model quality resulting from the partnership between interdependent computer software, and 2) a comprehensive comparative analysis of surface capture technologies in relation to the models used in restoration.
    Date of Award2007
    LanguageEnglish
    Awarding Institution
    • University of Dundee
    SupervisorCaroline Wilkinson (Supervisor)

    Cite this

    An evaluation of computer assisted skull re-assembly using hand held and automated laser scanners
    Mackenzie, S. (Author). 2007

    Student thesis: Master's ThesisMaster of Science