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International Conference on Medical Image Computing and Computer-Assisted Intervention

MICCAI 2012: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012 pp 99–106Cite as

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Incremental Kernel Ridge Regression for the Prediction of Soft Tissue Deformations

Incremental Kernel Ridge Regression for the Prediction of Soft Tissue Deformations

  • Binbin Pan19,20,
  • James J. Xia19,
  • Peng Yuan19,
  • Jaime Gateno19,
  • Horace H. S. Ip21,
  • Qizhen He21,
  • Philip K. M. Lee22,
  • Ben Chow22 &
  • …
  • Xiaobo Zhou19 
  • Conference paper
  • 5602 Accesses

  • 8 Citations

Part of the Lecture Notes in Computer Science book series (LNIP,volume 7510)

Abstract

This paper proposes a nonlinear regression model to predict soft tissue deformation after maxillofacial surgery. The feature which served as input in the model is extracted with Finite Element Model (FEM). The output in the model is the facial deformation calculated from the preoperative and postoperative 3D data. After finding the relevance between feature and facial deformation by using the regression model, we establish a general relationship which can be applied to all the patients. As a new patient comes, we predict his/her facial deformation by combining the general relationship and the new patient’s biomechanical properties. Thus, our model is biomechanical relevant and statistical relevant. Validation on eleven patients demonstrates the effectiveness and efficiency of our method.

Keywords

  • kernel ridge regression
  • finite element model
  • maxillofacial surgery
  • soft tissue deformation

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References

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Author information

Authors and Affiliations

  1. The Methodist Hospital Research Institute, Houston, Texas, USA

    Binbin Pan, James J. Xia, Peng Yuan, Jaime Gateno & Xiaobo Zhou

  2. School of Mathematics and Computational Science, Sun Yat-Sen University, China

    Binbin Pan

  3. Department of Computer Science, City University of Hong Kong, Hong Kong, China

    Horace H. S. Ip & Qizhen He

  4. Hong Kong Dental Implant & Maxillofacial Centre, Hong Kong, China

    Philip K. M. Lee & Ben Chow

Authors
  1. Binbin Pan
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  2. James J. Xia
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  3. Peng Yuan
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  4. Jaime Gateno
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  5. Horace H. S. Ip
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  6. Qizhen He
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  7. Philip K. M. Lee
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  8. Ben Chow
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  9. Xiaobo Zhou
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Editor information

Editors and Affiliations

  1. Inria Sophia Antipolis, Project Team Asclepios, 06902, Sophia-Antipolis, France

    Nicholas Ayache & Hervé Delingette & 

  2. MIT, CSAIL, 02139,, Cambridge,, MA, USA

    Polina Golland

  3. Information and Communication, Nagoya University, 464-8603, Headquarters, Nagoya, Japan

    Kensaku Mori

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© 2012 Springer-Verlag Berlin Heidelberg

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Cite this paper

Pan, B. et al. (2012). Incremental Kernel Ridge Regression for the Prediction of Soft Tissue Deformations. In: Ayache, N., Delingette, H., Golland, P., Mori, K. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012. MICCAI 2012. Lecture Notes in Computer Science, vol 7510. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33415-3_13

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  • DOI: https://doi.org/10.1007/978-3-642-33415-3_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33414-6

  • Online ISBN: 978-3-642-33415-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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