SIGNAL RECONSTRUCTION FROM MR TRUNCATED DATA USING SINGULARITY SPECTRUM ANALYSIS
磁共振截断频谱信号重建的奇异谱分析法

A new method of truncation MR artifact reduction is proposed in this paper. In the method, any digital signal spectrum can be expressed as the weighted sum of spectrum functions related to the signal singularity locations. The singularity locations and weight coefficients can be extracted from MR truncation spectrum data. Thus we can gain the high spectrum using the sum and reduce the truncation artifact in MR image. Experiment and simulation results show that this method gives much better reconstructed image than available methods.