Accelerated phosphorus magnetic resonance spectroscopic imaging using compressed sensing

This study aims at assessing the performance of compressed sensing method for faster phosphorus magnetic resonance spectroscopic imaging (³¹P-MRSI) of human brain. A simulated 2D ³¹P-MRSI dataset containing a tumor region and a healthy region was created based on the metabolite peak intensities and ratios of a volunteer dataset acquired at 3T. k-space data was randomly undersampled, and reconstructed using compressed sensing algorithm. This simulation study showed that compressed sensing reconstruction could be applied for faster ³¹P-MRSI. Future studies will measure the performance of compressed sensing reconstruction for ³¹P-MRSI in volunteers and patients with brain tumors.