Accelerating 3D radial MPnRAGE using a self-supervised deep factor model.

Journal: Magnetic resonance in medicine
Published Date:

Abstract

PURPOSE: To develop a self-supervised and memory-efficient deep learning image reconstruction method for 4D non-Cartesian MRI with high resolution and a large parametric dimension.

Authors

  • Yan Chen
    Department of Respiratory and Critical Care Medicine, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.
  • Steve R Kecskemeti
    Waisman Center, University of Wisconsin-Madison, Madison, Wisconsin, USA.
  • James H Holmes
    Department of Surgery, Wake Forest University, Winston-Salem, USA.
  • Curtis A Corum
    Department of Radiology, University of Iowa, Iowa City, Iowa, USA.
  • Nima Yaghoobi
    Electrical and Computer Engineering, University of Virginia, Charlottesville, Virginia, USA.
  • Vincent A Magnotta
    Department of Radiology, University of Iowa, Iowa City, IA, USA; Department of Psychiatry, University of Iowa, Iowa City, IA, USA. Electronic address: vincent-magnotta@uiowa.edu.
  • Mathews Jacob