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Abstract #2476

Comparison of Reconstruction Methods for Compressed Sensing phosphorus 31P-MRSI

Alejandro Santos Diaz1,2 and Michael Noseworthy1,2,3

1School of Biomedical Engineering, McMaster University, Hamilton, ON, Canada, 2Imaging Research Center, St. Joseph's Healthcare, Hamilton, ON, Canada, 3Electrical and Computing Engineering, McMaster University, Hamilton, ON, Canada

Phosphorus MR spectroscopy and spectroscopic imaging (31P-MRS/MRSI) provide information about energy metabolism, membrane degradation and pH in vivo. However, these methods are not often used primarily because of excessive scan time. Recently, compressed sensing has awakened interest as an acceleration method for MR signal acquisition. In this work we present a 31P-MRSI sequence that combines a flyback-EPSI trajectory with compressed sensing, and we compared two reconstruction methods, conjugate gradient L1-norm minimization and low-rank Hankel matrix completion. Overall, our results showed good preservation of spectral quality for low acceleration factors and an improved performance with the low-rank approach.

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