Estimation of metabolite T sub(1) relaxation times using tissue specific analysis, signal averaging and bootstrapping from magnetic resonance spectroscoplc Imaging data

Object A novel method of estimating metabolite relaxation times using MR spectroscopic imaging (MRSI) is proposed. As opposed to conventional single-voxel metabolite T sub(1) estimation methods, this method investigates regional and gray matter (GM)/white matter (WM) differences in metabolite T sub(1) by taking advantage of the spatial distribution information provided by MRSI. Material and methods The method, validated by Monte Carlo studies, involves a voxel averaging to preserve the GM/WM distribution, a non-linear least squares fit of the metabolite T sub(1) and an estimation of its standard error by bootstrapping. It was applied in vivo to estimate the T sub(1) of N-acetyl compounds (NAA), choline, creatine and myo-inositol in eight normal volunteers, at 1.5 T, using a short echo time 2D-MRSI slice located above the ventricles. Results WM-T sub(1,NAA) was significantly (P < 0.05) longer in anterior regions compared to posterior regions of the brain. The anterior region showed a trend of a longer WM T sub(1) compared to GM for NAA, creatine and myo-Inositol. Lastly, accounting for the bootstrapped standard error estimate in a group mean T sub(1) calculation yielded a more accurate T sub(1) estimation. Conclusion The method successfully measured in vivo metabolite T sub(1) using MRSI and can now be applied to diseased brain.