Accelerating GluCEST imaging using deep learning for B correction.

Journal: Magnetic resonance in medicine
Published Date: Oct 1, 2020

Abstract

PURPOSE: Glutamate weighted Chemical Exchange Saturation Transfer (GluCEST) MRI is a noninvasive technique for mapping parenchymal glutamate in the brain. Because of the sensitivity to field (B ) inhomogeneity, the total acquisition time is prolonged due to the repeated image acquisitions at several saturation offset frequencies, which can cause practical issues such as increased sensitivity to patient motions. Because GluCEST signal is derived from the small z-spectrum difference, it often has a low signal-to-noise-ratio (SNR). We proposed a novel deep learning (DL)-based algorithm armed with wide activation neural network blocks to address both issues.

Authors

  • Yiran Li
    University of California at Davis, Davis, CA, USA.
  • Danfeng Xie
    Department of Electrical and Computer Engineering, Temple University, Philadelphia, PA, USA.
  • Abigail Cember
    Department of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
  • Ravi Prakash Reddy Nanga
    Department of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
  • Hanlu Yang
    Department of Electrical and Computer Engineering, Temple University, Philadelphia, PA, USA.
  • Dushyant Kumar
    Department of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
  • Hari Hariharan
    Department of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
  • Li Bai
    Department of Electrical and Computer Engineering, Temple University, Philadelphia, PA, USA.
  • John A Detre
    Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
  • Ravinder Reddy
    Department of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
  • Ze Wang
    School of Traditional Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, 312 Anshanwest Road, Nankai District, Tianjin 300193, China.

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