Magnetic Resonance Spectroscopy Spectral Registration Using Deep Learning.

Journal: Journal of magnetic resonance imaging : JMRI
PMID:

Abstract

BACKGROUND: Deep learning-based methods have been successfully applied to MRI image registration. However, there is a lack of deep learning-based registration methods for magnetic resonance spectroscopy (MRS) spectral registration (SR).

Authors

  • David J Ma
    Department of Biomedical Engineering, Columbia University, New York, New York, USA.
  • Yanting Yang
    Department of Biomedical Engineering, Columbia University, New York, New York, USA.
  • Natalia Harguindeguy
    Department of Biomedical Engineering, Columbia University, New York, New York, USA.
  • Ye Tian
    State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics and Center for Molecular Imaging and Translational Medicine, School of Public Health, Xiamen University, Xiamen, 361102, China.
  • Scott A Small
    Department of Neurology, Columbia University, New York, NY, USA; Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University, New York, NY, USA.
  • Feng Liu
    Department of Vascular and Endovascular Surgery, The First Medical Center of Chinese PLA General Hospital, 100853 Beijing, China.
  • Douglas L Rothman
    Radiology and Biomedical Imaging of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.
  • Jia Guo
    Department of Radiology, Stanford University, Stanford, CA, USA.