Exploring palatal and dental shape variation with 3D shape analysis and geometric deep learning.

Journal: Orthodontics & craniofacial research
Published Date: Dec 1, 2021

Abstract

OBJECTIVES: Palatal shape contains a lot of information that is of clinical interest. Moreover, palatal shape analysis can be used to guide or evaluate orthodontic treatments. A statistical shape model (SSM) is a tool that, by means of dimensionality reduction, aims at compactly modeling the variance of complex shapes for efficient analysis. In this report, we evaluate several competing approaches to constructing SSMs for the human palate.

Authors

  • Nele Nauwelaers
    Medical Imaging Research Center, UZ Leuven, Leuven, Belgium.
  • Harold Matthews
    Medical Imaging Research Center, UZ Leuven, Leuven, Belgium.
  • Yi Fan
    Facial Science Research Group, Murdoch Children's Research Institute, Parkville, Australia.
  • Balder Croquet
    Medical Imaging Research Center, UZ Leuven, Leuven, Belgium.
  • Hanne Hoskens
    Medical Imaging Research Center, UZ Leuven, Leuven, Belgium.
  • Soha Mahdi
    Medical Imaging Research Center, UZ Leuven, Leuven, Belgium.
  • Ahmed El Sergani
    Center for Craniofacial and Dental Genetics, Department of Oral and Craniofacial Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
  • Shunwang Gong
    Department of Computing, Imperial College London, London, UK.
  • Tianmin Xu
  • Michael Bronstein
    Department of Computing, Faculty of Engineering, Imperial College London, London, SW7 2AZ, UK.
  • Mary Marazita
    Department of Oral and Craniofacial Sciences, Center for Craniofacial and Dental Genetics, Department of Human Genetics University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
  • Seth Weinberg
    Center for Craniofacial and Dental Genetics, Department of Oral and Craniofacial Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
  • Peter Claes
    Medical Imaging Research Center, UZ Leuven, Leuven, Belgium.

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