AI-driven attenuation correction for brain PET/MRI: Clinical evaluation of a dementia cohort and importance of the training group size.

Journal: NeuroImage
Published Date: Aug 1, 2020

Abstract

INTRODUCTION: Robust and reliable attenuation correction (AC) is a prerequisite for accurate quantification of activity concentration. In combined PET/MRI, AC is challenged by the lack of bone signal in the MRI from which the AC maps has to be derived. Deep learning-based image-to-image translation networks present itself as an optimal solution for MRI-derived AC (MR-AC). High robustness and generalizability of these networks are expected to be achieved through large training cohorts. In this study, we implemented an MR-AC method based on deep learning, and investigated how training cohort size, transfer learning, and MR input affected robustness, and subsequently evaluated the method in a clinical setup, with the overall aim to explore if this method could be implemented in clinical routine for PET/MRI examinations.

Authors

  • Claes Nøhr Ladefoged
    Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, Copenhagen, Denmark.
  • Adam Espe Hansen
    Department of Clinical Physiology, Nuclear Medicine & PET, Rigshospitalet, University of Copenhagen, Denmark.
  • Otto Mølby Henriksen
    Department of Clinical Physiology, Nuclear Medicine & PET, Rigshospitalet, University of Copenhagen, Denmark.
  • Frederik Jager Bruun
    Department of Clinical Physiology, Nuclear Medicine & PET, Rigshospitalet, University of Copenhagen, Denmark.
  • Live Eikenes
    Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway.
  • Silje Kjærnes Øen
    Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway.
  • Anna Karlberg
    Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway; (c)Department of Radiology and Nuclear Medicine, St. Olavs hospital, Trondheim University Hospital, Trondheim, Norway.
  • Liselotte Højgaard
    Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, Copenhagen, Denmark.
  • Ian Law
    Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, Copenhagen, Denmark.
  • Flemming Littrup Andersen
    Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, Copenhagen, Denmark.

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