Keywords: Image Reconstruction, Heart
Motivation: The beating of the heart is predictable, and existing methods mainly focus on sparsity and low rank, ignore the predictability.
Goal(s): Our goal is to improve the quality of dMRI reconstruction through predictability.
Approach: Introduced a method to extract predictability latent vectors and reconstruct images based on it.
Results: We used highly undersampled data for reconstruction and compared it with L+S,the experimental results indicate that we have achieved better reconstruction results than L+S.
Impact: This work use predictability for dMRI reconstruction without the use of sparsity and low rank.It is possible to introduce a new perspective for the reconstruction of dynamic images.
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