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Quantification of in vivo ³¹P NMR brain spectra using LCModel.
- Source :
-
NMR in biomedicine [NMR Biomed] 2015 Jun; Vol. 28 (6), pp. 633-41. Date of Electronic Publication: 2015 Apr 14. - Publication Year :
- 2015
-
Abstract
- Quantification of (31)P NMR spectra is commonly performed using line-fitting techniques with prior knowledge. Currently available time- and frequency-domain analysis software includes AMARES (in jMRUI) and CFIT respectively. Another popular frequency-domain approach is LCModel, which has been successfully used to fit both (1)H and (13)C in vivo NMR spectra. To the best of our knowledge LCModel has not been used to fit (31)P spectra. This study demonstrates the feasibility of using LCModel to quantify in vivo (31)P MR spectra, provided that adequate prior knowledge and LCModel control parameters are used. Both single-voxel and MRSI data are presented, and similar results are obtained with LCModel and with AMARES. This provides a new method for automated, operator-independent analysis of (31)P NMR spectra.<br /> (Copyright © 2015 John Wiley & Sons, Ltd.)
- Subjects :
- Animals
Computer Simulation
Humans
Magnetic Resonance Imaging methods
Mice
Models, Chemical
Reproducibility of Results
Sensitivity and Specificity
Algorithms
Brain metabolism
Magnetic Resonance Spectroscopy methods
Models, Biological
Phosphorus Compounds metabolism
Phosphorus Isotopes pharmacokinetics
Subjects
Details
- Language :
- English
- ISSN :
- 1099-1492
- Volume :
- 28
- Issue :
- 6
- Database :
- MEDLINE
- Journal :
- NMR in biomedicine
- Publication Type :
- Academic Journal
- Accession number :
- 25871439
- Full Text :
- https://doi.org/10.1002/nbm.3291