Frequency and phase correction of GABA-edited magnetic resonance spectroscopy using complex-valued convolutional neural networks.

Journal: Magnetic resonance imaging
PMID:

Abstract

PURPOSE: To determine the significance of complex-valued inputs and complex-valued convolutions compared to real-valued inputs and real-valued convolutions in convolutional neural networks (CNNs) for frequency and phase correction (FPC) of GABA-edited magnetic resonance spectroscopy (MRS) data.

Authors

  • Hanna Bugler
    Department of Biomedical Engineering, University of Calgary, Calgary, Canada. hanna.bugler@ucalgary.ca.
  • Rodrigo Berto
    Department of Biomedical Engineering, University of Calgary, Canada; Department of Radiology, University of Calgary, Canada; Hotchkiss Brain Institute, University of Calgary,Canada; Alberta Children's Hospital Research Institute, University of Calgary, Canada.
  • Roberto Souza
    Medical Imaging and Computing Laboratory, Department of Computer Engineering and Industrial Automation, University of Campinas, Campinas, São Paulo, Brazil; Departments of Radiology and Clinical Neurosciences, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada; Calgary Image Processing and Analysis Centre, Foothills Medical Centre, Alberta Health Services, Calgary, Alberta, Canada; Seaman Family Magnetic Resonance Research Centre, Foothills Medical Centre, Alberta Health Services, Calgary, Alberta, Canada. Electronic address: roberto.medeirosdeso@ucalgary.ca.
  • Ashley D Harris
    Department of Radiology, University of Calgary, Calgary, Canada.