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Abstract

Magnetic resonance spectroscopy (MRS) is a non-invasive imaging modality for metabolite detection in different parts of the body (e.g. brain, liver, prostate, breast, kidney, skeletal muscle, and heart) for normal person as well as in various disorders. It aids in providing valuable information for both diagnosis as well as therapeutic monitoring. Though there has been tremendous progress in MRS signal processing techniques for the quantitation of neurometabolites, variability in the absolute quantitation of metabolites persists due to various experimental conditions. In this article, we present in-depth discussion on (1)H MRS data processing and quantitation using different software packages both in frequency (e.g. LCModel) and time domain (e.g. jMRUI). We have included comparative analysis of precision and accuracy of MRS data processing using LCModel and jMRUI (AMARES). Special emphasis has been provided for the handling of macromolecules and lipid in LCModel and jMRUI methods. The author also suggests certain points to be noted while opting for above software packages.

Item Type:	Article
Subjects:	Neurodegenerative Disorders Informatics and Imaging
Depositing User:	Dr. D.D. Lal
Date Deposited:	04 May 2017 04:15
Last Modified:	13 Dec 2021 11:56
URI:	http://nbrc.sciencecentral.in/id/eprint/21

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