Literature DB >> 11746571

Assessment of 3D proton MR echo-planar spectroscopic imaging using automated spectral analysis.

A Ebel1, B J Soher, A A Maudsley.   

Abstract

For many clinical applications of proton MR spectroscopic imaging (MRSI) of the brain, diagnostic assessment is limited by insufficient coverage provided by single- or multislice acquisition methods as well as by the use of volume preselection methods. Additionally, traditional spectral analysis methods may limit the operator to detailed analysis of only a few selected brain regions. It is therefore highly desirable to use a fully 3D approach, combined with spectral analysis procedures that enable automated assessment of 3D metabolite distributions over the whole brain. In this study, a 3D echo-planar MRSI technique has been implemented without volume preselection to provide sufficient spatial resolution with maximum coverage of the brain. Using MRSI acquisitions in normal subjects at 1.5T and a fully automated spectral analysis procedure, an assessment of the resultant spectral quality and the extent of viable data in human brain was carried out. The analysis found that 69% of brain voxels were obtained with acceptable spectral quality at TE = 135 ms, and 52% at TE = 25 ms. Most of the rejected voxels were located near the sinuses or temporal bones and demonstrated poor B0 homogeneity and additional regions were affected by stronger lipid contamination at TE = 25 ms. Copyright 2001 Wiley-Liss, Inc.

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Mesh:

Year:  2001        PMID: 11746571     DOI: 10.1002/mrm.1301

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  44 in total

Review 1.  MR spectroscopy and spectroscopic imaging of the brain.

Authors:  He Zhu; Peter B Barker
Journal:  Methods Mol Biol       Date:  2011

2.  Comprehensive processing, display and analysis for in vivo MR spectroscopic imaging.

Authors:  A A Maudsley; A Darkazanli; J R Alger; L O Hall; N Schuff; C Studholme; Y Yu; A Ebel; A Frew; D Goldgof; Y Gu; R Pagare; F Rousseau; K Sivasankaran; B J Soher; P Weber; K Young; X Zhu
Journal:  NMR Biomed       Date:  2006-06       Impact factor: 4.044

3.  Error images for spectroscopic imaging by LCModel using Cramer-Rao bounds.

Authors:  F Jiru; A Skoch; U Klose; W Grodd; M Hajek
Journal:  MAGMA       Date:  2006-01-17       Impact factor: 2.310

4.  GAVA: spectral simulation for in vivo MRS applications.

Authors:  Brian J Soher; Karl Young; Aaron Bernstein; Zakaria Aygula; Andrew A Maudsley
Journal:  J Magn Reson       Date:  2007-01-12       Impact factor: 2.229

5.  Correction of local B0 shifts in 3D EPSI of the human brain at 4 T.

Authors:  Andreas Ebel; Andrew A Maudsley; Norbert Schuff
Journal:  Magn Reson Imaging       Date:  2006-11-13       Impact factor: 2.546

6.  MRS in early and presymptomatic carriers of a novel octapeptide repeat insertion in the prion protein gene.

Authors:  Eric M McDade; Bradley F Boeve; Julie A Fields; Neeraj Kumar; Rosa Rademakers; Matt C Baker; Bsc David S Knopman; Ronald C Petersen; Clifford R Jack; Kejal Kantarci
Journal:  J Neuroimaging       Date:  2012-05-21       Impact factor: 2.486

7.  FID modulus: a simple and efficient technique to phase and align MR spectra.

Authors:  Yann Le Fur; Patrick J Cozzone
Journal:  MAGMA       Date:  2013-06-21       Impact factor: 2.310

8.  Metabolic voxel-based analysis of the complete human brain using fast 3D-MRSI: Proof of concept in multiple sclerosis.

Authors:  Maxime Donadieu; Yann Le Fur; Angèle Lecocq; Andrew A Maudsley; Soraya Gherib; Elisabeth Soulier; Sylviane Confort-Gouny; Fanelly Pariollaud; Marie-Pierre Ranjeva; Jean Pelletier; Maxime Guye; Wafaa Zaaraoui; Bertrand Audoin; Jean-Philippe Ranjeva
Journal:  J Magn Reson Imaging       Date:  2016-01-12       Impact factor: 4.813

Review 9.  Various MRS application tools for Alzheimer disease and mild cognitive impairment.

Authors:  F Gao; P B Barker
Journal:  AJNR Am J Neuroradiol       Date:  2014-04-17       Impact factor: 3.825

10.  Frontal lobe abnormalities on MRS correlate with poor letter fluency in ALS.

Authors:  Colin Quinn; Lauren Elman; Leo McCluskey; Katelin Hoskins; Chafic Karam; John H Woo; Harish Poptani; Sumei Wang; Sanjeev Chawla; Scott E Kasner; Murray Grossman
Journal:  Neurology       Date:  2012-07-25       Impact factor: 9.910

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