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Quantification of in vivo 31 P NMR brain spectra using LCModel
Author(s) -
Deelchand Dinesh Kumar,
Nguyen TraMy,
Zhu XiaoHong,
Mochel Fanny,
Henry PierreGilles
Publication year - 2015
Publication title -
nmr in biomedicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.278
H-Index - 114
eISSN - 1099-1492
pISSN - 0952-3480
DOI - 10.1002/nbm.3291
Subject(s) - nmr spectra database , spectral line , in vivo , nuclear magnetic resonance , chemistry , computer science , physics , biology , genetics , astronomy
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. Copyright © 2015 John Wiley & Sons, Ltd.