A multi-scale variational neural network for accelerating motion-compensated whole-heart 3D coronary MR angiography


Fuin N., Bustin A., Kustner T., Öksüz İ. , Clough J., King A. P. , ...More

MAGNETIC RESONANCE IMAGING, vol.70, pp.155-167, 2020 (Journal Indexed in SCI) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 70
  • Publication Date: 2020
  • Doi Number: 10.1016/j.mri.2020.04.007
  • Title of Journal : MAGNETIC RESONANCE IMAGING
  • Page Numbers: pp.155-167

Abstract

Purpose: To enable fast reconstruction of undersampled motion-compensated whole-heart 3D coronary magnetic resonance angiography (CMRA) by learning a multi-scale variational neural network (MS-VNN) which allows the acquisition of high-quality 1.2 x 1.2 x 1.2 mm isotropic volumes in a short and predictable scan time.