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Abstract #5613

Optimization of Regularization Parameters of Compressed Sensing Reconstruction for Fast Phosphorus MR Spectroscopic Imaging of Human Brain.

Gokce Hale Hatay1, Muhammed Yildirim1,2, and Esin Ozturk-Isik1

1Institute of Biomedical Engineering, Bogazici University, Istanbul, Turkey, 2Advanced Diagnostic Imaging, Philips Healthcare, Best, Netherlands

This study aims at investigating the effects of compressed sensing data acquisition and reconstruction factors for accelerated phosphorus MR spectroscopic imaging (31P-MRSI). Simulated 31P MRSI datasets containing healthy and tumor regions were created based on the metabolite information of brain tumor patient 31P-MRSI acquired at 3T. k-space data were randomly undersampled with three different reduction factors while preserving the central portion for different noise levels, reduced datasets were reconstructed using compressed sensing by combining eleven different total variation and L1-norm penalties. Findings showed that data acquisition pattern and reconstruction parameters have a significant effect on the resultant 31P-MRSI spectral quality.

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