Personalized computed tomography - Automated estimation of height and weight of a simulated digital twin using a 3D camera and artificial intelligence.

Journal: RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin
Published Date: Nov 3, 2020

Abstract

PURPOSE:  The aim of this study was to develop an algorithm for automated estimation of patient height and weight during computed tomography (CT) and to evaluate its accuracy in everyday clinical practice.

Authors

  • Frederik Geissler
    Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Erlangen, Germany.
  • Rafael Heiß
    Department of Radiology, University Hospital Erlangen, Erlangen, Germany.
  • Markus Kopp
    Department of Radiology, University Hospital Erlangen, Erlangen, Germany.
  • Marco Wiesmüller
    Department of Radiology, University Hospital Erlangen, Erlangen, Germany.
  • Marc Saake
    Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Erlangen, Germany.
  • Wolfgang Wuest
    Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Erlangen, Germany.
  • Andreas Wimmer
    Siemens Healthcare GmbH, Forchheim, Germany.
  • Veronika Prell
    Siemens Healthcare GmbH, Forchheim, Germany.
  • Michael Uder
    Institute of Radiology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.
  • Matthias Stefan May
    Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Erlangen, Germany.

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