Benchmarking learned non-Cartesian k-space trajectories and reconstruction networks
#Non-Cartesian Sampling
#k-space Sampling
#MRI
#trajectory learning
#MRI reconstruction
#projected gradient descent
We benchmark the current existing methods to jointly learn non-Cartesian k-space trajectory and reconstruction: PILOT, BJORK, and compare them with those obtained from the recently developed generalized hybrid learning (HybLearn) framework. We present the advantages of using projected gradient descent to enforce MR…