The existing accelerated MRI methods have the limitations such as fine-structure loss in the cases of high reduction factors or noisy measurements. This work presents a novel mutual-structure filtering based half-quadratic splitting algorithm for accurate undersampled brain MRI reconstruction. Experimental results on in-vivo images have shown that the proposed approach has a superior ability to capture meaningful details compared with other state-of-the-art reference guided reconstruction technologies.
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