Prediction of cranio-maxillofacial surgical planning using an inverse soft tissue modelling approach

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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. © 2013 Springer-Verlag.

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Shahim, K., Jürgens, P., Cattin, P. C., Nolte, L. P., & Reyes, M. (2013). Prediction of cranio-maxillofacial surgical planning using an inverse soft tissue modelling approach. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8149 LNCS, pp. 18–25). https://doi.org/10.1007/978-3-642-40811-3_3

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