Optimal Spread Spectrum for Enhanced Multi-Receive Compressed Sensing MRI
Sulaiman A Al Hasani 1 , Gary F Egan 2 , and Jingxin Zhang 3
Electrical and Computer Systems Engineering,
Monash University, clayton, VIC, Australia,
Biomedical Imaging, Monash University, VIC, Australia,
of Software and Electrical Engineering, Swinburne
University of Technology, VIC, Australia
The reconstruction quality of CS is highly dependent on
the level of signal (image) sparsity as well as the
level of incoherent In conventional MRI, Fourier
encoding concentrates the energy of MR signal in the
center of k-space, this limits the incoherent sampling
and hence hinders the performance of CS reconstruction.
In this work, we propose a practical encoding scheme,
based on the spread spectrum analysis of Chirp modulated
Fourier sensing matrix, to enhance the incoherent
sampling of multi-receive MRI. The proposed method
outperforms Fourier encoding in preserving image quality
at high acceleration factors.
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