G-Factor as Regularization Parameter in Regularized SENSE Reconstruction

Hammad Omer¹, Robert Dickinson

Parallel MRI is a technique to reduce the scan time for MRI image acquisition but this comes at the cost of noise amplification during the process of image reconstruction. A method based on the use of g-factor as a regularization parameter in Tikhonov regularized SENSE reconstruction is proposed. The results show a considerable improvement in the reconstructed image as compared to contemporary methods. It has been shown that the g-factor map effectively acts as a spatially adaptive regularization parameter providing very good reconstruction at much less computational cost.