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Prediction of Cranio-Maxillofacial Surgical Planning Using an Inverse Soft Tissue Modelling Approach
Kamal Shahim1, Philipp Jürgens2, Philippe C. Cattin3, Lutz-P. Nolte1, and Mauricio Reyes1
1Institute for Surgical Technology and Biomechanics, University of Bern, Bern, Switzerland
kamal.shahim@istb.unibe.ch
lutz.nolte@istb.unibe.ch
mauricio.reyes@istb.unibe.ch
2Department of Cranio-Maxillofacial Surgery, University of Basel, Basel, Switzerland
pjuergens@uhbs.ch
3Medical Image Analysis Center (MIAC), University of Basel, Basel, Switzerland
philippe.cattin@unibas.ch
Abstract. In cranio-maxillofacial surgery, the determination of a proper surgical plan is an important step to attain a desired aesthetic facial profile and a complete denture closure. In the present paper, we propose an efficient modeling approach to predict the surgical planning on the basis of the desired facial appearance and optimal occlusion. To evaluate the proposed planning approach, the predicted osteotomy plan of six clinical cases that underwent CMF surgery were compared to the real clinical plan. Thereafter, simulated soft-tissue outcomes were compared using the predicted and real clinical plan. This preliminary retrospective comparison of both osteotomy planning and facial outlook shows a good agreement and thereby demonstrates the potential application of the proposed approach in cranio-maxillofacial surgical planning prediction.
Keywords: surgical planning prediction, soft-tissue simulation, mass-tensor modeling, cranio-maxillofacial surgery
LNCS 8149, p. 18 ff.
lncs@springer.com
© Springer-Verlag Berlin Heidelberg 2013