Multi-domain convolutional neural network (MD-CNN) for radial reconstruction of dynamic cardiac MRI.

Journal: Magnetic resonance in medicine
Published Date: Sep 13, 2020

Abstract

PURPOSE: Cardiac MR cine imaging allows accurate and reproducible assessment of cardiac function. However, its long scan time not only limits the spatial and temporal resolutions but is challenging in patients with breath-holding difficulty or non-sinus rhythms. To reduce scan time, we propose a multi-domain convolutional neural network (MD-CNN) for fast reconstruction of highly undersampled radial cine images.

Authors

  • Hossam El-Rewaidy
    Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Ave, Boston, MA, 02215, USA.
  • Ahmed S Fahmy
  • Farhad Pashakhanloo
    Department of Medicine (Cardiovascular Division), Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA.
  • Xiaoying Cai
    Department of Medicine (Cardiovascular Division), Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA.
  • Selcuk Kucukseymen
    Department of Medicine (Cardiovascular Division), Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts.
  • Ibolya Csecs
    Department of Medicine (Cardiovascular Division), Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA.
  • Ulf Neisius
  • Hassan Haji-Valizadeh
    Department of Medicine (Cardiovascular Division), Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA.
  • Bjoern Menze
  • Reza Nezafat

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