TagGen: Diffusion-based generative model for cardiac MR tagging super resolution.

Journal: Magnetic resonance in medicine
Published Date:

Abstract

PURPOSE: The aim of the work is to develop a cascaded diffusion-based super-resolution model for low-resolution (LR) MR tagging acquisitions, which is integrated with parallel imaging to achieve highly accelerated MR tagging while enhancing the tag grid quality of low-resolution images.

Authors

  • Changyu Sun
    Department of Biomedical Engineering, University of Virginia, Health System, Box 800759, Charlottesville, VA, 22908, USA.
  • Cody Thornburgh
    Department of Radiology, University of Missouri, Columbia, Missouri, USA.
  • Yu Wang
    Clinical and Technical Support, Philips Healthcare, Shanghai, China.
  • Senthil Kumar
    Additional Professor (Liver Transplantation), Institute of Liver and Biliary Sciences, New Delhi.
  • Talissa A Altes
    Department of Radiology, University of Missouri, Columbia, Missouri.