Complementary time-frequency domain networks for dynamic parallel MR image reconstruction.
Chen QinJinming DuanKerstin HammernikJo SchlemperThomas KüstnerRené BotnarClaudia PrietoAnthony N PriceJoseph V HajnalDaniel RueckertPublished in: Magnetic resonance in medicine (2021)
The work shows the benefit of reconstructing dynamic parallel MRI in complementary time-frequency domains with deep neural networks. The method can effectively and robustly reconstruct high-quality images from highly undersampled dynamic multicoil data ( 16 × and 24 × yielding 15 s and 10 s scan times respectively) with fast reconstruction speed (2.8 seconds). This could potentially facilitate achieving fast single-breath-hold clinical 2D cardiac cine imaging.