Accelerated free-breathing abdominal T2 mapping with deep learning reconstruction of radial turbo spin-echo data.

Journal: Magnetic resonance in medicine
Published Date:

Abstract

PURPOSE: To accelerate respiratory triggered free-breathing T2 mapping of the abdomen while maintaining high-quality anatomical images, accurate T2 maps, and fast reconstruction times.

Authors

  • Brian Toner
    Applied Math Program, The University of Arizona, Tucson, Arizona, USA.
  • Simon Arberet
    Digital Technology & Innovation, Siemens Medical Solutions USA, Inc., Princeton, NJ, USA.
  • Shu Zhang
    State University of New York, Department of Radiology, Stony Brook, New York, United States.
  • Fei Han
    Organ Transplantation Research Institution, Division of Kidney Transplantation, Department of Surgery, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
  • Eze Ahanonu
    Department of Electrical and Computer Engineering, The University of Arizona, Tucson, Arizona, USA.
  • Ute Goerke
    Siemens Medical Solutions USA, Tucson, Arizona, USA.
  • Kevin Johnson
    Department of Nursing and Midwifery, University of Limerick, Ireland.
  • Zeyad Abouelfetouh
    Department of Radiology, Houston Methodist Research Institute, Houston, Texas, USA.
  • Ion Codreanu
    Department of Radiology, Houston Methodist Research Institute, Houston, Texas, USA.
  • Sajeev Sridhar
    Department of Radiology, Houston Methodist Research Institute, Houston, Texas, USA.
  • Hina Arif-Tiwari
    Department of Medical Imaging, The University of Arizona, Tucson, Arizona, USA.
  • Vibhas Deshpande
    Siemens Medical Solutions USA, Austin, Texas, USA.
  • Diego R Martin
    Department of Radiology, Houston Methodist Hospital, Houston, Texas, USA.
  • Mariappan Nadar
    Digital Technology and Innovation, Siemens Healthineers, Princeton, USA.
  • Maria I Altbach
    Department of Radiology, The University of Arizona, Tucson, Arizona, USA.
  • Ali Bilgin
    Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ 85721, United States of America; Department of Biomedical Engineering, University of Arizona, Tucson, AZ 85724, United States of America; Department of Medical Imaging, University of Arizona, Tucson, AZ 85724, United States of America; Program in Applied Mathematics, University of Arizona, Tucson, AZ 85724, United States of America. Electronic address: bilgin@arizona.edu.

Keywords

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