Image quality and metal artifact reduction in total hip arthroplasty CT: deep learning-based algorithm versus virtual monoenergetic imaging and orthopedic metal artifact reduction.

Journal: European radiology experimental
Published Date: Mar 14, 2024

Abstract

BACKGROUND: To compare image quality, metal artifacts, and diagnostic confidence of conventional computed tomography (CT) images of unilateral total hip arthroplasty patients (THA) with deep learning-based metal artifact reduction (DL-MAR) to conventional CT and 130-keV monoenergetic images with and without orthopedic metal artifact reduction (O-MAR).

Authors

  • Mark Selles
    Department of Radiology, Isala, 8025 AB Zwolle, the Netherlands; Department of Radiology & Nuclear medicine, Amsterdam University Medical Centre, 1105 AZ Amsterdam, the Netherlands; Amsterdam Movement Sciences, 1081 BT Amsterdam, the Netherlands. Electronic address: m.selles@isala.nl.
  • Ruud H H Wellenberg
    Department of Radiology & Nuclear medicine, Amsterdam University Medical Centre, 1105 AZ Amsterdam, the Netherlands; Amsterdam Movement Sciences, 1081 BT Amsterdam, the Netherlands.
  • Derk J Slotman
    Department of Radiology, Isala Hospital, Zwolle, The Netherlands. d.j.slotman@isala.nl.
  • Ingrid M Nijholt
    Department of Radiology and Nuclear Medicine, Isala, P.O. Box 10400, 8000 GK Zwolle, The Netherlands.
  • Jochen A C van Osch
    Department of Medical Physics, Isala, P.O. Box 10400, 8000 GK Zwolle, The Netherlands.
  • Kees F van Dijke
    Department of Radiology & Nuclear Medicine, Noordwest Ziekenhuisgroep, 1815 JD, Alkmaar, the Netherlands.
  • Mario Maas
    Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, The Netherlands.
  • Martijn F Boomsma
    Department of Radiology and Nuclear Medicine, Isala, P.O. Box 10400, 8000 GK Zwolle, The Netherlands.

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