Blip-up blip-down circular EPI (BUDA-cEPI) for distortion-free dMRI with rapid unrolled deep learning reconstruction.

Journal: Magnetic resonance imaging
PMID: 39566835

Abstract

PURPOSE: BUDA-cEPI has been shown to achieve high-quality, high-resolution diffusion magnetic resonance imaging (dMRI) with fast acquisition time, particularly when used in conjunction with S-LORAKS reconstruction. However, this comes at a cost of more complex reconstruction that is computationally prohibitive. In this work we develop rapid reconstruction pipeline for BUDA-cEPI to pave the way for its deployment in routine clinical and neuroscientific applications. The proposed reconstruction includes the development of ML-based unrolled reconstruction as well as rapid ML-based B0 and eddy current estimations that are needed. The architecture of the unroll network was designed so that it can mimic S-LORAKS regularization well, with the addition of virtual coil channels.

Authors

  • Uten Yarach
    Department of Radiologic Technology, Faculty of Associated Medical Sciences, Chiang Mai University, 110 Intavaroros Road, Muang, Chiang Mai, 50200, Thailand. uten.yarach@cmu.ac.th.
  • Itthi Chatnuntawech
    National Nanotechnology Center, Pathum Thani, Thailand.
  • Congyu Liao
    Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, Massachusetts.
  • Surat Teerapittayanon
    National Nanotechnology Center, National Science and Technology Development Agency, Pathum Thani, Thailand.
  • Siddharth Srinivasan Iyer
    Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Tae Hyung Kim
    TheragenBio, Seongnam, Republic of Korea.
  • Justin Haldar
    Signal and Image Processing Institute, Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA.
  • JaeJin Cho
    Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea.
  • Berkin Bilgic
    Department of Radiology, Harvard Medical School, Boston, MA, USA.
  • Yuxin Hu
    Department of Electrical Engineering, Stanford University, Stanford, CA, United States.
  • Brian Hargreaves
    Department of Radiology, Stanford University, Stanford, CA, USA; Department of Electrical Engineering, Stanford University, Stanford, CA, USA; Department of Bioengineering, Stanford University, Stanford, California, USA.
  • Kawin Setsompop
    Department of Radiology, Harvard Medical School, Boston, MA, USA.

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