| Literature DB >> 25871439 |
Dinesh Kumar Deelchand1, Tra-My Nguyen2, Xiao-Hong Zhu1, Fanny Mochel2,3,4, Pierre-Gilles Henry1.
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.Entities:
Keywords: 31P; AMARES; LCModel; MRSI; animal; brain; human; jMRUI
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Year: 2015 PMID: 25871439 PMCID: PMC4438275 DOI: 10.1002/nbm.3291
Source DB: PubMed Journal: NMR Biomed ISSN: 0952-3480 Impact factor: 4.044