This work presents a free breathing Dynamic Contrast Enhanced MRI (DCE-MRI) reconstruction method called L+S (Low rank plus sparse) with joint sparsity, which improved dynamic contrast performance through integrating an additional temporal Fast Fourier Transform (FFT) constraint by extending the standard L+S decomposition method. Fast Composite Splitting Algorithm (FCSA) is implemented to solve the L+S optimization problem in proposed method, and to minimize the computation complexity from joint sparsity constraints. The proposed method achieved high spatial-temporal resolution, high reconstruction efficiency and improved dynamic contrast simultaneously when comparing with other methods in reconstructing a simulated phantom dataset and a DCE-MRI dataset.
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