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Soft-Tissue Simulation for Cranio-Maxillofacial Surgery: Clinical Needs and Technical Aspects

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Patient-Specific Modeling in Tomorrow's Medicine

Part of the book series: Studies in Mechanobiology, Tissue Engineering and Biomaterials ((SMTEB,volume 09))

Abstract

Computerized soft-tissue simulation can provide unprecedented means for predicting facial outlook pre-operatively. Surgeons can virtually perform several surgical plans to have the best surgical results for their patients while considering corresponding soft-tissue outcome. It could be used as an interactive communication tool with their patients as well. There has been comprehensive amount of works for simulating soft-tissue for cranio-maxillofacial surgery. Although some of them have been realized as commercial products, none of them has been fully integrated into clinical practice due to the lack of accuracy and excessive amount of processing time. In this chapter, state-of-the-art and general workflow in facial soft-tissue simulation will be presented, along with an example of patient-specific facial soft-tissue simulation method.

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Acknowledgements

This work was supported by the Swiss National Center of Competence in Research "Computer Aided and Image Guided Medical Interventions (Co-Me)", and the AO/ASIF Foundation, Davos, Switzerland.

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Authors and Affiliations

  1. University of Bern, Bern, Switzerland

    Hyungmin Kim, Philipp Jürgens & Mauricio Reyes

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  1. Hyungmin Kim
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  2. Philipp Jürgens
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  3. Mauricio Reyes
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Correspondence to Mauricio Reyes .

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  1. Fac. Engineering, Dept. Biomedical Engineering, Tel Aviv University, Ramat Aviv, 69978, Israel

    Amit Gefen

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Kim, H., Jürgens, P., Reyes, M. (2011). Soft-Tissue Simulation for Cranio-Maxillofacial Surgery: Clinical Needs and Technical Aspects. In: Gefen, A. (eds) Patient-Specific Modeling in Tomorrow's Medicine. Studies in Mechanobiology, Tissue Engineering and Biomaterials, vol 09. Springer, Berlin, Heidelberg. https://doi.org/10.1007/8415_2011_105

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  • DOI: https://doi.org/10.1007/8415_2011_105

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