Learning Needle Placement in Soft Tissue With Robot-assisted Navigation.

Journal: In vivo (Athens, Greece)
Published Date: Jan 1, 2023

Abstract

BACKGROUND/AIM: The aim of this phantom study was to evaluate the learning curves of novices practicing how to place a cone-beam computed tomography (CBCT)-guided needle using a novel robotic assistance system (RAS).

Authors

  • Philipp Lautenschlaeger
    Institute of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany.
  • Nils Rathmann
    Institute of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany.
  • Andreas Rothfuss
    BEC GmbH, Pfullingen, Germany.
  • Markus Kuhne
    Fraunhofer IPA, Fraunhofer Project Group for Automation in Medicine and Biotechnology, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany.
  • Simon Stork
    BEC GmbH, Pfullingen, Germany.
  • Matthias Noll
    Fraunhofer Institute for Computer Graphics Research, Darmstadt, Germany.
  • Svetlana Hetjens
    Department for Medical Statistics, Biomathematics and Information Processing, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany.
  • Stefan O Schoenberg
    University Medical Center Mannheim, Faculty of Medicine Mannheim, Institute of Clinical Radiology and Nuclear Medicine, Heidelberg University, Mannheim, Germany.
  • Jan Stallkamp
    Fraunhofer Institute for Manufacturing Engineering and Automation, Project Group for Automation in Medicine and Biotechnology, Mannheim, Germany. jan.stallkamp@medma.uni-heidelberg.de.
  • Steffen Diehl
    Institute of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany.

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