Impact of intelligent virtual and AI-based automated collimation functionalities on the efficiency of radiographic acquisitions.

Journal: Radiography (London, England : 1995)
Published Date: May 18, 2024

Abstract

INTRODUCTION: Intelligent virtual and AI-based collimation functionalities have the potential to enable an efficient workflow for radiographers, but the specific impact on clinical routines is still unknown. This study analyzes primarily the influence of intelligent collimation functionalities on the examination time and the number of needed interactions with the radiography system.

Authors

  • A Rasche
    Siemens Healthineers AG, Siemensstrasse 3, 91301 Forchheim, Germany. Electronic address: anna.rasche@siemens-healthineers.com.
  • P Brader
    Diagnostikum Linz GmbH, Saporoshjestrasse 3, 4030 Linz, Austria. Electronic address: peter.brader@diagnostikum.at.
  • J Borggrefe
    From the Institute for Diagnostic and Interventional Radiology (L.P., R.S., L.C., S.L., F.T., D.Z., M.P., C.K., J.B., K.R.L.).
  • H Seuss
    Department of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Maximiliansplatz 3, 91054 Erlangen, Germany; Department of Radiology, Klinikum Forchheim - Fränkische Schweiz, Krankenhausstrasse 10, 91301 Forchheim, Germany. Electronic address: hannes.seuss@klinikum-forchheim.de.
  • Z Carr
    Department of Radiology, The Ohio State University Wexner Medical Center, 274V Doan Hall, 450 W. 10th Ave, Columbus, OH, 43210, United States. Electronic address: Zachary.Carr@osumc.edu.
  • A Hebecker
    Siemens Healthineers AG, Siemensstrasse 3, 91301 Forchheim, Germany. Electronic address: axel.hebecker@siemens-healthineers.com.
  • G Ten Cate
    Siemens Healthineers AG, Siemensstrasse 3, 91301 Forchheim, Germany. Electronic address: gerben.tencate@siemens-healthineers.com.

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