Abstract
Prediction of the facial outcome after maxillofacial surgery is not only of major interest for surgeons but also for patients. A mirror-like image of the expected surgical outcome gives important information for the patient and provides the surgeon with a good communication tool. This paper presents a method for registration of 3D photographs with 3D CT images, to provide the patient with a realistic view of the natural complexion of the simulated postoperative outcome of his/her face. A rigid ICP-based registration algorithm, followed by a non-rigid transformation produces a close match between the two surfaces.
Chapter PDF
Similar content being viewed by others
Keywords
References
F. Schutyser, J. Van Cleynenbreugel, M. Ferrant, J. Schoenaers, P. Suetens: Imagebased 3D planning of maxillofacial distraction procedures including soft tissue implications. Proceedings 3rd international conference on medical image computing and computer-assisted intervention — MICCAI2000, lecture notes in computer science, vol. 1935, pp. 999–1007, October1 1–14, 2000, Pittsburgh, Pennsylvania, USA
P.J. Besl, N.D. McKay: A method for registration of 3-D shapes. IEEE Trans. PAMI 14(2), p. 239–256, 1992.
J. Feldmar, N. Ayache: Rigid, affine and locally affine registration of smooth surfaces. INRIA Technical Report No. 2220, 1994.
Iterative point matching for registration of free-from curves and surfaces. Int. J. Comp. Vision 13(2), 119–152.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
De Groeve, P., Schutyser, F., Van Cleynenbreugel, J., Suetens, P. (2001). Registration of 3D Photographs with Spiral CT Images for Soft Tissue Simulation in Maxillofacial Surgery. In: Niessen, W.J., Viergever, M.A. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2001. MICCAI 2001. Lecture Notes in Computer Science, vol 2208. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45468-3_118
Download citation
DOI: https://doi.org/10.1007/3-540-45468-3_118
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-42697-4
Online ISBN: 978-3-540-45468-7
eBook Packages: Springer Book Archive