The invention discloses a magnetic
resonance parallel imaging method of a multi-constrain sliding window. The method sequentially comprises the following steps; (1) a multi-channel coil is utilized for conducting full sampling on a middle region of
K space, and forward-direction, backward-direction and self reconstruction constraint weights are respectively obtained in a fitting mode; (2) the sliding window is selected from an accelerating sampling region, the sliding window moves respectively in the direction of frequency coding and the direction of
phase coding, the collected data are utilized by the sliding window at each position for reconstructing data which are not collected, and initial
estimation values, corresponding to each position, in the sliding window are obtained; (3) a linear
weighted average method is adopted to
gain K space output values which are not collected according to the initial
estimation values, corresponding to each position, in the sliding window; (4), two dimensional
Fourier transform is utilized for converting
K space data which are not collected into images, and all coil images are united to obtain the final output image. Image artifacts and
noise of the reconstructed image are obviously reduced.