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., ...Daha Fazla

MAGNETIC RESONANCE IMAGING, cilt.70, ss.155-167, 2020 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 70
  • Basım Tarihi: 2020
  • Doi Numarası: 10.1016/j.mri.2020.04.007
  • Dergi Adı: MAGNETIC RESONANCE IMAGING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Biotechnology Research Abstracts, CAB Abstracts, EMBASE, INSPEC, MEDLINE, Veterinary Science Database
  • Sayfa Sayıları: ss.155-167
  • Anahtar Kelimeler: Cardiac MRI, Fast imaging, Undersampling, Variational neural network, Coronary imaging, MAGNETIC-RESONANCE ANGIOGRAPHY, IMAGE-RECONSTRUCTION, SPARSE
  • İstanbul Teknik Üniversitesi Adresli: Evet

Özet

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.