An MTL1TV non-convex regularization model for MR Image reconstruction using the alternating direction method of multipliers

Abstract

The acquisition time of magnetic resonance imaging (MRI) is relatively long. To achieve high-quality and fast reconstruction of magnetic resonance (MR) images, we proposed a non-convex regularization model for MR image reconstruction with the modified transformed $ {l_1} $ total variation (MTL1TV) regularization term. We addressed this new model using the alternating direction method of multipliers (ADMM). To evaluate the proposed MTL1TV model, we performed numerical experiments on several MR images. The numerical results showed that the proposed model gives reconstructed images of improved quality compared with those obtained from state of the art models. The results indicated that the proposed model can effectively reconstruct MR images.

Keywords

• mr image reconstruction
• transformed $ {l_1} $ penalty
• non-convex regularization
• total variation
• admm