Parallel Resonance Imaging Algorithm Based E-VDRS

PMRI algorithm has been improved in this paper, then get E-VDRS algorithm. E-VDRS algorithm does not require additional auto-calibration signals (ACS), so imaging speed increases. In order to determine the weights used for reconstruction, a line in the reduced dataset is fit to the certain center position signal lines, so the reconstructed image quality improves. Thus when the accelerating factor is the same, the algorithm can increase the imaging speed and improve the reconstructed image quality effectively.In improving imaging speed, the paper uses variable-density random sampling trajectory. The trajectory can increase the imaging speed effectively.In improving the reconstructed image quality, the paper improves the accuracy of the receiver coils’ sensitivity estimation by using the least squares regularization method. The results prove that the method can improve the reconstructed image quality significantly.The simulation results show that compared to SMASH and SENSE and GRAPPA algorithms, the method can increase imaging speed and reduce the aliasing artifacts and improve the reconstructed image quality effectively when the acceleration factor is the same.