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Abstract #3295

Accelerated 3D Acquisition for Susceptibility Weighted Imaging Using Spread Spectrum Encoding and Compressive Sensing

Sulaiman A Al Hasani1, Zhaolin Chen 2, Gary F Egan2, and Jingxin Zhang3

1Department of ECSE, Monash University, Melbourne, Australia, 2Monash Biomedical Imaging, Melbourne, Australia, 3Swinburne University of Technology/School of Software and Electrical Engineering, Melbourne, Australia

Spread spectrum based encoding methods have recently been investigated to spread the energy of MR signal in k-space and hence allowing for optimal incoherent sampling and hence higher performance of CS reconstruction. In this work, we extend the use of spread spectrum based encoding to 3D GRE sequence. The proposed encoding scheme can enhance the performance of multi-receive CS reconstruction at high acceleration factors and preserve resolution of small anatomical structures and preserve susceptibility contrast for Susceptibility-weighted imaging (SWI).

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