Accelerating multipool CEST MRI of Parkinson's disease using deep learning-based Z-spectral compressed sensing.

Journal: Magnetic resonance in medicine
Published Date: Jul 24, 2024

Abstract

PURPOSE: To develop a deep learning-based approach to reduce the scan time of multipool CEST MRI for Parkinson's disease (PD) while maintaining sufficient prediction accuracy.

Authors

  • Lin Chen
    College of Sports, Nanjing Tech University, Nanjing, China.
  • Haipeng Xu
  • Tao Gong
    Educational Testing Service, Princeton, NJ, USA.
  • Junxian Jin
    Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, School of Electronic Science and Engineering, National Model Microelectronics College, Xiamen University, Xiamen, China.
  • Liangjie Lin
    MSC Clinical & Technical Solutions, Philips Healthcare, Beijing, China.
  • Yang Zhou
    State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Environmental Protection, Guangzhou, China.
  • Jianpan Huang
    Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, China.
  • Zhong Chen
    Institute of HIV/AIDS The First Hospital of Changsha, Changsha, China.

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