Deep learning reconstruction for optimized bone assessment in zero echo time MR imaging of the knee.

Journal: European journal of radiology
Published Date:

Abstract

PURPOSE: To evaluate the impact of deep learning-based reconstruction (DLRecon) on bone assessment in zero echo-time (ZTE) MRI of the knee at 1.5 Tesla.

Authors

  • Falko Ensle
    Institute of Diagnostic and Interventional Radiology, University Hospital Zurich (USZ), University of Zurich, Raemistrasse 100, CH-8091, Zurich, Switzerland. falko.ensle@usz.ch.
  • Frederik Abel
    Department of Spine Surgery, Hospital for Special Surgery, New York, New York, USA.
  • Maelene Lohezic
    Applications & Workflow, GE Healthcare, Manchester, UK.
  • Carina Obermüller
    Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
  • Roman Guggenberger
    Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Ramistrasse 100, 8091, Zurich, Switzerland.