Deep Learning Reconstruction for 4-fold Accelerated 2DFSE Imaging: optimization of variable density undersampling

In this work we use variable-density prospective undersampling of the phase-encode k-space lines (ky) in 2D fast spin-echo (2DFSE) followed by deep learning (DL) reconstruction. We were able to achieve an acceleration of R=4 while maintaining high image quality.