GRASP is an image reconstruction algorithm for free-breathing dynamic contrast-enhanced MRI which uses universal L1-type regularization to suppress undersampling artifacts. We propose to replace it with a subject-specific data-driven L2-type regularization which can improve image quality and decrease reconstruction time.
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