Validation Methods for Soft Tissue Prediction in Maxillofacial Planning Environments (original) (raw)

Abstract

Before a maxillofacial surgical procedure, patients want mirror-like images of the probable outcome.Imp ortant research activities try to predict 3D soft tissue changes based on the skeletal changes.Ma jor attention was paid on the biomechanical properties of soft tissues at a certain time instance.(Non-)linear mass-spring and FE models are developed [1–3].Bu t, what accuracy is obtained by a current soft tissue model? What improvements are needed? Some validation methods for soft tissue deformation prediction are investigated.

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References

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Authors and Affiliations

  1. Faculties of Medicine and Engineering, Medical Image Computing (Radiology - ESAT/PSI), UZ Gasthuisberg, Herestraat 49, B-3000, Leuven, Belgium
    Filip Schutyser, Johan Van Cleynenbreuge & Paul Suetens

Authors

  1. Filip Schutyser
  2. Johan Van Cleynenbreuge
  3. Paul Suetens

Editor information

Editors and Affiliations

  1. Image Sciences Institute, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
    Wiro J. Niessen & Max A. Viergever &

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© 2001 Springer-Verlag Berlin Heidelberg

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Schutyser, F., Van Cleynenbreuge, J., Suetens, P. (2001). Validation Methods for Soft Tissue Prediction in Maxillofacial Planning Environments. 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\_185

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