In this work, temporal shift-windowing function is integrated into Low rank plus sparse (L+S) decomposition to fix the certain motion phase with a high temporal resolution and reconstruction efficiency for free-breathing golden angle radial DCE-MRI of liver. A smooth weighting curve based on a sigmoid function is used to achieve a smooth transition for the spokes between the desired phase and other motion phases. Furthermore, the Fast Iterative Shrinkage-thresholding Algorithm (FISTA) was implemented to solve the L+S optimization problem which enables faster convergence. Results of the proposed method are compared with RACER-GRASP.
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