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2010 3rd International Conference on Biomedical Engineering and Informatics
Regularization is a common technique used to improve image quality in inverse problems such as MR image reconstruction. In this work, we extend our previous Graphics Processing Unit (GPU) implementation of MR image reconstruction with compensation for susceptibility-induced field inhomogeneity effects by incorporating an additional quadratic regularization term. Regularization techniques commonly impose the prior information that MR images are relatively smooth by penalizing large changes indoi:10.1109/bmei.2010.5640008 fatcat:fbkgzs3ptvco3g7tgt5fsoapvy