Abstract #0378

Chirp-Encoded 3D GRE and MPRAGE sequences

Kamlesh Pawar^1,2, Zhaolin Chen^1,3, Jingxin Zhang^3,4, N Jon Shah^1,5, and Gary F Egan^1,2

¹Monash Biomedical Imaging, Monash University, Melbourne, Australia, ²School of Psychological Sciences, Monash University, Melbourne, Australia, ³Department of Electrical and Computer System Engineering, Monash University, Melbourne, Australia, ⁴School of Software and Electrical Engineering, Swinburne University of Technology, Melbourne, Australia, ⁵Institute of Medicine, Research Centre Juelich, Juelich, Germany

Non-Fourier encoding such as random, noiselets and chirp encoding have demonstrated image quality improvement in accelerated compressive sensing (CS) MRI applications. However, implementation of the non-Fourier encoding schemes in 2D spin echo sequence limits its use in practice, due to the fact that spin echo is inherently a slow sequence. In this work, we present a novel implementation of chirp encoding in fast 3D gradient echo (GRE) and MPRAGE sequences. The chirp encoding scheme is compared with conventional Fourier encoding for compressive sensing and susceptibility weighted imaging applications. The evaluation demonstrates that chirp encoding is able to preserve spatial resolution better than the Fourier encoding.

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