Application of compressed sensing using chirp encoded 3D GRE and MPRAGE sequences

11th February 2020

Kamlesh Pawar, Zhaolin Chen, Jingxin Zhang, N. Jon Shah, Gary F. Egan

In this collaborative study, led by our colleagues at Monash University, Melbourne, Australia, the implementation of non-Fourier chirp-encoding is presented for 3D gradient recalled echo (GRE), susceptibility-weighted imaging (SWI) and magnetization prepared rapid gradient echo (MPRAGE) sequences.

The motivation for the paper is that non-Fourier encoding schemes have been shown to perform better in compressive sensing reconstruction compared to other methods. However, most of the previous works have implemented the non-Fourier encoding for 2D imaging in spin-echo sequences where slice selection was achieved by using a 180o refocusing pulse. Here, 3D GRE and MPRAGE sequences are implemented and the results demonstrate that high quality in vivo images with good SNR can be obtained using chirp encoding, making them a practical candidate for MRI scans.

Original publication:

Application of compressed sensing using chirp encoded 3D GRE and MPRAGE sequences