Generating Synthetic T2*-Weighted Gradient Echo Images of the Knee with an Open-source Deep Learning Model.

Journal: Academic radiology
Published Date: Apr 2, 2025

Abstract

RATIONALE AND OBJECTIVES: Routine knee MRI protocols for 1.5 T and 3 T scanners, do not include T2*-w gradient echo (T2*W) images, which are useful in several clinical scenarios such as the assessment of cartilage, synovial blooming (deposition of hemosiderin), chondrocalcinosis and the evaluation of the physis in pediatric patients. Herein, we aimed to develop an open-source deep learning model that creates synthetic T2*W images of the knee using fat-suppressed intermediate-weighted images.

Authors

  • Konstantinos Vrettos
    Artificial Intelligence and Translational Imaging (ATI) Lab, Department of Radiology, School of Medicine, University of Crete, Voutes Campus, Heraklion 71003, Greece (K.V., A.H.K., M.E.K.).
  • Evangelia E Vassalou
    Department of Medical Imaging, University Hospital of Heraklion, Voutes, 71110, Crete, Greece.
  • Grigoria Vamvakerou
    Department of Medical Imaging, University Hospital of Heraklion, Heraklion, Crete 71110, Greece (E.E.V., G.V., A.H.K., M.E.K.).
  • Apostolos H Karantanas
    Computational Biomedicine Laboratory (CBML), Foundation for Research and Technology Hellas (FORTH), 70013 Heraklion, Greece.
  • Michail E Klontzas
    Department of Medical Imaging, Heraklion University Hospital, Crete, 70110, Greece; Advanced Hybrid Imaging Systems, Institute of Computer Science, Foundation for Research and Technology (FORTH), N. Plastira 100, Vassilika Vouton 70013, Heraklion, Crete, Greece. Electronic address: miklontzas@ics.forth.gr.

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