Literature DB >> 17167819

An automated quantitation of short echo time MRS spectra in an open source software environment: AQSES.

Jean-Baptiste Poullet1, Diana M Sima, Arjan W Simonetti, Bart De Neuter, Leentje Vanhamme, Philippe Lemmerling, Sabine Van Huffel.   

Abstract

This paper describes a new quantitation method called AQSES for short echo time magnetic resonance spectra. This method is embedded in a software package available online from www.esat.kuleuven.be/sista/members/biomed/new/ with a graphical user interface, under an open source license, which means that the source code is freely available and easy to adapt to specific needs of the user. The quantitation problem is mathematically formulated as a separable nonlinear least-squares fitting problem, which is numerically solved using a modified variable-projection procedure. A macromolecular baseline is incorporated into the fit via nonparametric modelling, efficiently implemented using penalized splines. Unwanted components such as residual water are removed with a maximum-phase FIR filter. Constraints on the phases, dampings and frequencies of the metabolites can be imposed. AQSES has been tested on simulated MR spectra with several types of disturbance and on short echo time in vivo proton MR spectra. Results show that AQSES is robust, easy to use and very flexible. Copyright 2006 John Wiley & Sons, Ltd.

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Year:  2007        PMID: 17167819     DOI: 10.1002/nbm.1112

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


  24 in total

Review 1.  Quantification in magnetic resonance spectroscopy based on semi-parametric approaches.

Authors:  Danielle Graveron-Demilly
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2.  Tract-based magnetic resonance spectroscopy of the cingulum bundles at 7 T.

Authors:  René C W Mandl; Martijn P van den Heuvel; Dennis W J Klomp; Vincent O Boer; Jeroen C W Siero; Peter R Luijten; Hilleke E Hulshoff Pol
Journal:  Hum Brain Mapp       Date:  2011-06-14       Impact factor: 5.038

3.  Towards automatic metabolomic profiling of high-resolution one-dimensional proton NMR spectra.

Authors:  Pascal Mercier; Michael J Lewis; David Chang; David Baker; David S Wishart
Journal:  J Biomol NMR       Date:  2011-03-01       Impact factor: 2.835

4.  Constrained Source Space MR Spectroscopy: Multiple Voxels, No Gradient Readout.

Authors:  K Landheer; A Sahgal; S Das; S J Graham
Journal:  AJNR Am J Neuroradiol       Date:  2015-06-18       Impact factor: 3.825

5.  Temperature dependence of 1H NMR chemical shifts and its influence on estimated metabolite concentrations.

Authors:  Felizitas C Wermter; Nico Mitschke; Christian Bock; Wolfgang Dreher
Journal:  MAGMA       Date:  2017-07-06       Impact factor: 2.310

6.  Spectral Quantification for High-Resolution MR Spectroscopic Imaging With Spatiospectral Constraints.

Authors:  Qiang Ning; Chao Ma; Fan Lam; Zhi-Pei Liang
Journal:  IEEE Trans Biomed Eng       Date:  2016-07-27       Impact factor: 4.538

7.  Improved initial value estimation for short echo time magnetic resonance spectroscopy spectral analysis using short T2 signal attenuation.

Authors:  Jeffrey Steinberg; Brian J Soher
Journal:  Magn Reson Med       Date:  2011-08-19       Impact factor: 4.668

8.  Response to Comments on "Magnetic Resonance Spectroscopy Identifies Neural Progenitor Cells in the Live Human Brain".

Authors:  Petar M Djurić; Helena Benveniste; Mark E Wagshul; Fritz Henn; Grigori Enikolopov; Mirjana Maletić-Savatić
Journal:  Science       Date:  2008-08-01       Impact factor: 47.728

9.  A comparison of two post-processing analysis methods to quantify cerebral metabolites measured via proton magnetic resonance spectroscopy in HIV disease.

Authors:  Joseph Scott; Jonathan Underwood; Lucy J Garvey; Borja Mora-Peris; Alan Winston
Journal:  Br J Radiol       Date:  2016       Impact factor: 3.039

10.  Quantitation of normal metabolite concentrations in six brain regions by in-vivoH-MR spectroscopy.

Authors:  Ludovico Minati; Domenico Aquino; Maria Grazia Bruzzone; Alessandra Erbetta
Journal:  J Med Phys       Date:  2010-07
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