Effect of data-driven motion correction for respiratory movement on lesion detectability in PET-CT: a phantom study.

Journal: EJNMMI physics
Published Date:

Abstract

PURPOSE: While data-driven motion correction (DDMC) techniques have proven to enhance the visibility of lesions affected by motion, their impact on overall detectability remains unclear. This study investigates whether DDMC improves lesion detectability in PET-CT using FDG-18F.

Authors

  • Marloes A de Winter
    Department of Medical Physics, St Antonius Hospital, Nieuwegein, The Netherlands. ma.de.winter1@antoniusziekenhuis.nl.
  • Robin Gevers
    Department of Medical Physics, St Antonius Hospital, Nieuwegein, The Netherlands.
  • Jules Lavalaye
    Department of Nuclear Medicines, St Antonius Hospital, Nieuwegein, The Netherlands.
  • Jan B A Habraken
    Department of Medical Physics, St Antonius Hospital, Nieuwegein, The Netherlands.
  • Matteo Maspero
    Department of Radiation Oncology, Imaging and Cancer Division, University Medical Center Utrecht, Utrecht, The Netherlands; Computational Imaging Group for MR Diagnostics & Therapy, Center for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands.

Keywords

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