Partially separability (PS) model is a sparse sampling imaging model which can achieve high spatiotemporal resolution for dynamic magnetic resonance imaging. However, the PS model needs a long scan time to collect enough data for image reconstruction, which hinders its applications in clinic. To address this issue, a novel approach based on parallel sampling and image reconstruction algorithm was introduced to shorten the PS scan time in this paper. Numerical simulation and in vivo cardiac experiment results demonstrate that the proposed method can accelerate the PS sampling speed by 2-3 times without any penalty of the reconstructed image quality.