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 ((31)P-MRSI) of human brain. A simulated 2D (31)P-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 (31)P-MRSI. Future studies will measure the performance of compressed sensing reconstruction for (31)P-MRSI in volunteers and patients with brain tumors.
Biomedical Engineering Department, Yeditepe University, Istanbul, Turkey. ceren.askin@yeditepe.edu.tr
Nurten C
NC
Askin
Berna
B
Atis
Esin
E
Ozturk-Isik
D000465:Algorithms; D001932:Brain Neoplasms / Q000378:metabolism* / Q000473:pathology*; D003952:Diagnostic Imaging / Q000379:methods; D006801:Humans; D009682:Magnetic Resonance Spectroscopy / Q000379:methods*; D008954:Models, Biological; D010758:Phosphorus / Q000378:metabolism*; D012680:Sensitivity and Specificity
D010758:Phosphorus