Single-Signal Based Parallel Imaging using Compressed Sensing

satoshi Ito¹, Hirotoshi Arai¹, Yoshifumi Yamada¹

In this paper, we propose a novel image reconstruction method in which CS and PI are executed using only single set of signal. Since the distribution of PSFT signal strongly reflects the distribution of the object, the application of a weighting function to the PSFT signals has a similar effect as the application of the weighting function to the object. Therefore SENSE reconstruction using a single signal is feasible by producing another folded image having another weighting function. Here, we propose a new imaging method which combine CS and PI using single signal to achieve higher reduction factor.