Automated Orientation and Registration of Cone-Beam Computed Tomography Scans.

Journal: Clinical image-based procedures, fairness of AI in medical imaging, and ethical and philosophical issues in medical imaging : 12th International Workshop, CLIP 2023 1st International Workshop, FAIMI 2023 and 2nd International Workshop, ...
Published Date: Oct 9, 2023

Abstract

Automated clinical decision support systems rely on accurate analysis of three-dimensional (3D) medical and dental images to assist clinicians in diagnosis, treatment planning, intervention, and assessment of growth and treatment effects. However, analyzing longitudinal 3D images requires standardized orientation and registration, which can be laborious and error-prone tasks dependent on structures of reference for registration. This paper proposes two novel tools to automatically perform the orientation and registration of 3D Cone-Beam Computed Tomography (CBCT) scans with high accuracy (<3° and <2mm of angular and linear errors when compared to expert clinicians). These tools have undergone rigorous testing, and are currently being evaluated by clinicians who utilize the 3D Slicer open-source platform. Our work aims to reduce the sources of error in the 3D medical image analysis workflow by automating these operations. These methods combine conventional image processing approaches and Artificial Intelligence (AI) based models trained and tested on de-identified CBCT volumetric images. Our results showed robust performance for standardized and reproducible image orientation and registration that provide a more complete understanding of individual patient facial growth and response to orthopedic treatment in less than 5 min.

Authors

  • Luc Anchling
    University of Michigan, Ann Arbor, MI, USA.
  • Nathan Hutin
    University of Michigan, Ann Arbor, MI, USA.
  • Yanjie Huang
    University of Michigan, Ann Arbor, MI, USA.
  • Selene Barone
    University of Michigan, Ann Arbor, MI, USA.
  • Sophie Roberts
    Department of Orthodontics, University of Melbourne, Melbourne, Australia.
  • Felicia Miranda
    University of Michigan, Ann Arbor, MI, USA.
  • Marcela Gurgel
    University of Michigan, Ann Arbor, MI, USA.
  • Najla Al Turkestani
    University of Michigan, Ann Arbor, MI, USA.
  • Sara Tinawi
    University of Michigan, Ann Arbor, MI, USA.
  • Jonas Bianchi
    University of Michigan, Ann Arbor, MI, USA.
  • Marilia Yatabe
    University of Michigan, Ann Arbor, MI, USA.
  • Antonio Ruellas
    Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
  • Juan Carlos Prieto
    University of North Carolina, Chapel Hill, USA.
  • Lucia Cevidanes
    University of Michigan, Ann Arbor, MI, USA.

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