An improved algorithm of translational motion artifact correction for MRI

In order to further reduce the impact of translational motion artifact on MRI image quality, and to improve the corrected image clarity and the correction rate, an improved algorithm of translational motion artifact correction for MRI which combines Fourier projection algorithm and genetic algorithm is presented. Compared with the conventional Fourier algorithm, the improved algorithm is based on the Fourier principle, and project the frequency-domain data to X direction, and use the translational deviation to calculate the entire pixel offsets in the X direction, then the frequency domain extension method is used to estimate large amount of motion and thus the entire pixel offsets of X direction is corrected. Then use the genetic algorithm to correct the sub-pixel offsets of X direction and offsets of Y direction. To demonstrate the validity of the improved algorithm, the simulation experiments of the translational motion artifact correction are performed with the conventional algorithm and the improved algorithm. The experimental results show that the reconstructed images using the improved algorithm have higher image clarity and faster imaging speed.