Literature DB >> 25871439

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

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.
Copyright © 2015 John Wiley & Sons, Ltd.

Entities:  

Keywords:  31P; AMARES; LCModel; MRSI; animal; brain; human; jMRUI

Mesh:

Substances:

Year:  2015        PMID: 25871439      PMCID: PMC4438275          DOI: 10.1002/nbm.3291

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  26 in total

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4.  Improved method for accurate and efficient quantification of MRS data with use of prior knowledge

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Journal:  Magn Reson Med       Date:  1999-02       Impact factor: 4.668

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9.  In vivo 31P magnetic resonance spectroscopy study of mouse cerebral NAD content and redox state during neurodevelopment.

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  10 in total

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