Cardiac cine magnetic resonance imaging not only requires higher imaging speed but also needs to address motion artifacts. Especially in the case of free-breathing, more motion artifacts are inevitably introduced. This poses higher demands on the reconstruction performance of the model and its ability to capture temporal information. Previous methods have not effectively utilized the temporal dimension information to compensate for motion artifacts. In order to fully leverage the spatiotemporal information and reduce the impact of motion artifacts, this paper proposes a motion-guided deformable alignment method with second-order bidirectional propagation. Furthermore, aligning adjacent frames may lead to low accuracy or misalignment issues, which are detrimental to subsequent fusion reconstruction. Previous methods have not sufficiently integrated and corrected the aligned feature information. This paper proposes a multi-resolution fusion method to further correct alignment errors or artifacts. Compared to other advanced methods, the proposed approach achieves better image reconstruction quality in terms of peak signal-to-noise ratio (PSNR), structural similarity index (SSIM), and visual effects. The source code will be made available on https://github.com/GtLinyer/MDAMF.

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