Rapid 3D T mapping using deep learning-assisted Look-Locker inversion recovery MRI.

Journal: Magnetic resonance in medicine
Published Date: May 1, 2023

Abstract

PURPOSE: Conventional 3D Look-Locker inversion recovery (LLIR) T mapping requires multi-repetition data acquisition to reconstruct images at different inversion times for T fitting. To ensure B robustness, sufficient time of delay (TD) is needed between repetitions, which prolongs scan time. This work proposes a novel deep learning-assisted LLIR MRI approach for rapid 3D T mapping without TD.

Authors

  • Haoyang Pei
    BioMedical Engineering and Imaging Institute (BMEII) and Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Ding Xia
    BioMedical Engineering and Imaging Institute (BMEII) and Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Xiang Xu
    Beijing Center for Disease Prevention and Control, Beijing, China.
  • Yang Yang
    Department of Gastrointestinal Surgery, The Third Hospital of Hebei Medical University, Shijiazhuang, China.
  • Yao Wang
    Department of Gastrointestinal Surgery, Zhongshan People's Hospital, Zhongshan, Guangdong, China.
  • Fang Liu
    The First Clinical Medical College of Gannan Medical University, Ganzhou 341000, Jiangxi Province, China.
  • Li Feng
    Department of Radiation Oncology, China-Japan Union Hospital of Jilin University, Changchun, China.

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