Short TE in vivo (1)H MR spectroscopic imaging at 1.5 T: acquisition and automated spectral analysis.
Spectral analysis of short TE in vivo proton magnetic resonance spectroscopic imaging (MRSI) data are complicated by the presence of spectral overlap, low signal to noise and uncharacterized signal contributions. In this study, it is shown that an automated data analysis method can be used to generate metabolite images from MRSI data obtained from human brain at TE = 25 ms and 1.5 T when optimized pulse sequences and a priori metabolite knowledge are used. The analysis approach made use of computer simulation methods to obtain a priori spectral information of the metabolites of interest and utilized a combination of parametric spectral modeling and non-parametric signal characterization for baseline fitting. This approach was applied to data from optimized PRESS-SI and multi-slice spin-echo SI acquisitions, for which sample spectra and metabolite images are shown.
Duke Scholars
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Related Subject Headings
- Nuclear Medicine & Medical Imaging
- Magnetic Resonance Spectroscopy
- Magnetic Resonance Imaging
- Inositol
- Humans
- Glutamic Acid
- Creatine
- Computer Simulation
- Choline
- Brain
Citation
Published In
DOI
ISSN
Publication Date
Volume
Issue
Start / End Page
Location
Related Subject Headings
- Nuclear Medicine & Medical Imaging
- Magnetic Resonance Spectroscopy
- Magnetic Resonance Imaging
- Inositol
- Humans
- Glutamic Acid
- Creatine
- Computer Simulation
- Choline
- Brain