A joint manifold smoothness regularization scheme (j-STORM) is proposed for free-breathing and ungated cardiac CINE imaging. The proposed method assumes that the images and square shaped image patches of the dynamic dataset live on a smooth, but separate, low-dimensional manifolds. We compare the reconstruction of two datasets from their highly undersampled measurements with the proposed j-STORM method to the image manifold smoothness scheme (STORM). The proposed scheme considerably reduces the streaking-artifacts present when only image manifold smoothness regularization is used and not the patch manifold smoothness.
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