Compressed Sensing can be very useful in accelerating Phase-encoded Proton MRSI. The sampling functions and the reconstruction settings have been known as critical factors in recovering the data of the accelerated acquisition. The present work compared the choices of sampling functions and the regularization information in the reconstruction in a hope to optimize the framework of Compressed Sensing based MRSI. The results suggest that the spectral quality can be retained for as high as five-fold acceleration with an appropriate undersampling and reconstruction setting.
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