Li An1, Shizhe Li1, Jun Shen1. 1. National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland, USA.
Abstract
PURPOSE: To simultaneously measure concentration and T1 and T2 values of metabolites in the human brain in a single scan session. METHODS: A new pulse sequence with multiple variable acquisition parameters was proposed to encode metabolite T1 and T2 information into the acquired data. A linear combination-fitting algorithm was developed in-house to simultaneously determine metabolite concentrations and relaxation times. RESULTS: Concentration, T1 , and T2 values of N-acetyl-aspartate, total creatine, total choline, and glutamate were reliably measured in the frontal gray matter and white matter regions of nine healthy volunteers at 7 tesla in less than 10 minutes of scan time per voxel. T1 and T2 values of glutamine, as well as T1 of glutathione, were also measured in the frontal gray matter region with reasonable precision. CONCLUSION: The proposed technique allows multiparametric characterization of brain metabolites in a single scan session, making it possible to measure both levels and intracellular microenvironments of brain chemicals in clinical MR spectroscopy studies. Magn Reson Med 78:2072-2081, 2017.
PURPOSE: To simultaneously measure concentration and T1 and T2 values of metabolites in the human brain in a single scan session. METHODS: A new pulse sequence with multiple variable acquisition parameters was proposed to encode metabolite T1 and T2 information into the acquired data. A linear combination-fitting algorithm was developed in-house to simultaneously determine metabolite concentrations and relaxation times. RESULTS: Concentration, T1 , and T2 values of N-acetyl-aspartate, total creatine, total choline, and glutamate were reliably measured in the frontal gray matter and white matter regions of nine healthy volunteers at 7 tesla in less than 10 minutes of scan time per voxel. T1 and T2 values of glutamine, as well as T1 of glutathione, were also measured in the frontal gray matter region with reasonable precision. CONCLUSION: The proposed technique allows multiparametric characterization of brain metabolites in a single scan session, making it possible to measure both levels and intracellular microenvironments of brain chemicals in clinical MR spectroscopy studies. Magn Reson Med 78:2072-2081, 2017.
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