1. Estimation of metabolite T1 relaxation times using tissue specific analysis, signal averaging and bootstrapping from magnetic resonance spectroscopic imaging data.
- Author
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Ratiney, H, Noworolski, SM, Sdika, M, Srinivasan, R, Henry, RG, Nelson, SJ, and Pelletier, D
- Subjects
Brain ,Humans ,Nerve Tissue Proteins ,Image Interpretation ,Computer-Assisted ,Magnetic Resonance Imaging ,Metabolic Clearance Rate ,Magnetic Resonance Spectroscopy ,Tissue Distribution ,Algorithms ,Signal Processing ,Computer-Assisted ,Adult ,Female ,Male ,MR spectroscopic imaging ,relaxation time T-1 estimation ,bootstrap ,Monte Carlo simulation ,Image Interpretation ,Computer-Assisted ,Signal Processing ,Clinical Research ,Neurosciences ,Biomedical Imaging ,Nuclear Medicine & Medical Imaging - Abstract
ObjectA novel method of estimating metabolite T1 relaxation times using MR spectroscopic imaging (MRSI) is proposed. As opposed to conventional single-voxel metabolite T1 estimation methods, this method investigates regional and gray matter (GM)/white matter (WM) differences in metabolite T1 by taking advantage of the spatial distribution information provided by MRSI.Material and methodsThe 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 T1 and an estimation of its standard error by bootstrapping. It was applied in vivo to estimate the T1 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.ResultsWM-T 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 T1 compared to GM for NAA, creatine and myo-Inositol. Lastly, accounting for the bootstrapped standard error estimate in a group mean T1 calculation yielded a more accurate T1 estimation.ConclusionThe method successfully measured in vivo metabolite T1 using MRSI and can now be applied to diseased brain.
- Published
- 2007