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Quantification of in vivo ³¹P NMR brain spectra using LCModel.

Authors :
Deelchand DK
Nguyen TM
Zhu XH
Mochel F
Henry PG
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.)

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