Abstract
Using Sparse MRI with random radial trajectories allows MRI images reconstruction from a small number of acquired k-space data. This fulfills the demands of dynamic MRL Different random radial trajectories are generated by varying the parameters of the added random perturbations to the radial trajectories. Images reconstruction is performed using the non-linear Ll norm reconstruction. Entropy is computed for the reconstructed images, as a quantitative measure for the reconstructed image quality. Both phantom simulation and real cardiac images are used in the experiments of this work. The results show that more sparsely sampled images can be reconstructed with higher quality compared to using non-randomly sampled radial k-space trajectories.