Anatomically-driven soft-tissue simulation strategy for cranio-maxillofacial surgery using facial muscle template model

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Abstract

We propose a computationally efficient and bio-mechanically relevant soft-tissue simulation method for cranio-maxillofacial (CMF) surgery. A template-based facial muscle reconstruction was introduced to minimize the efforts on preparing a patient-specific model. A transversely isotropic mass-tensor model (MTM) was adopted to realize the effect of directional property of facial muscles in reasonable computation time. Additionally, sliding contact around teeth and mucosa was considered for more realistic simulation. Retrospective validation study with post-operative scan of a real patient showed that there were considerable improvements in simulation accuracy by incorporating template-based facial muscle anatomy and sliding contact. © 2010 Springer-Verlag.

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Kim, H., Jürgens, P., Nolte, L. P., & Reyes, M. (2010). Anatomically-driven soft-tissue simulation strategy for cranio-maxillofacial surgery using facial muscle template model. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6361 LNCS, pp. 61–68). https://doi.org/10.1007/978-3-642-15705-9_8

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