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Missing facial parts computed by a morphable model and transferred directly to a polyamide laser-sintered prosthesis: an innovation study

Mueller, A. A. and Paysan, P. and Schumacher, R. and Zeilhofer, H.-F. and Berg-Boerner, B.-I. and Maurer, J. and Vetter, T. and Schkommodau, E. and Juergens, P. and Schwenzer-Zimmerer, K.. (2011) Missing facial parts computed by a morphable model and transferred directly to a polyamide laser-sintered prosthesis: an innovation study. British journal of oral and maxillofacial surgery, Vol. 49, H. 8. pp. 67-71.

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Official URL: http://edoc.unibas.ch/dok/A6001944

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Abstract

Mirroring of missing facial parts and rapid prototyping of templates have become widely used in the manufacture of prostheses. However, mirroring is not applicable for central facial defects, and the manufacture of a template still requires labour-intensive transformation into the final facial prosthesis. We have explored innovative techniques to meet these remaining challenges. We used a morphable model of a face for the reconstruction of missing facial parts that did not have mirror images, and skin-coloured polyamide laser sintering for direct manufacture of the prosthesis. From the knowledge gleaned from a data set of 200 coloured, three-dimensional scans, we generated a missing nose that was statistically compatible with the remaining parts of the patient's face. The planned prosthesis was manufactured directly from biocompatible skin-coloured polyamide powder by selective laser sintering, and the prosthesis planning system produced a normal-looking reconstruction. The polyamide will need adjustable colouring, and we must be able to combine it with a self-curing resin to fulfil the requirements of realistic permanent use.
Faculties and Departments:03 Faculty of Medicine > Bereich Operative Fächer (Klinik) > Kopfbereich > Kiefer- und Gesichtschirurgie (Zeilhofer)
03 Faculty of Medicine > Departement Klinische Forschung > Bereich Operative Fächer (Klinik) > Kopfbereich > Kiefer- und Gesichtschirurgie (Zeilhofer)
05 Faculty of Science > Departement Mathematik und Informatik > Informatik > Computergraphik Bilderkennung (Vetter)
UniBasel Contributors:Vetter, Thomas and Zeilhofer, Hans-Florian
Item Type:Article, refereed
Article Subtype:Research Article
Bibsysno:Link to catalogue
Publisher:Churchill Livingstone
ISSN:0266-4356
Note:Publication type according to Uni Basel Research Database: Journal article
Last Modified:08 Nov 2012 16:22
Deposited On:08 Nov 2012 16:14

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