Literature DB >> 15678549

Detection and correction of frequency instabilities for volumetric 1H echo-planar spectroscopic imaging.

Andreas Ebel1, Andrew A Maudsley.   

Abstract

Spectral quality in 1H magnetic resonance spectroscopic imaging (MRSI) critically depends on the stability of the main magnetic field. For echo-planar MRSI implemented at 3 T, temperature variation in the passive steel shims of the magnet system can lead to a significant drift in the resonance frequency. A method is presented that incorporates interleaved measurement of the instantaneous resonance frequency of a reference water signal into a volumetric MRSI sequence and allows correction for the drift during postprocessing. Results from normal human brain at 3 T indicate that the correction largely removes lineshape distortions, recovers metabolite signal loss, and improves spectral quality by reducing the width of spectral lines; however, particularly in inferior regions, other sources of distortion may be present that cause broadening of spectral lines.

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Year:  2005        PMID: 15678549     DOI: 10.1002/mrm.20367

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


  34 in total

1.  Achieving sufficient spectral bandwidth for volumetric 1H echo-planar spectroscopic imaging at 4 Tesla.

Authors:  Andreas Ebel; Andrew A Maudsley; Michael W Weiner; Norbert Schuff
Journal:  Magn Reson Med       Date:  2005-09       Impact factor: 4.668

Review 2.  Proton MR spectroscopy of the brain at 3 T: an update.

Authors:  Alfonso Di Costanzo; Francesca Trojsi; Michela Tosetti; Timo Schirmer; Silke M Lechner; Teresa Popolizio; Tommaso Scarabino
Journal:  Eur Radiol       Date:  2007-01-18       Impact factor: 5.315

3.  The rapid and automatic combination of proton MRSI data using multi-channel coils without water suppression.

Authors:  Zhengchao Dong; Bradley Peterson
Journal:  Magn Reson Imaging       Date:  2007-02-20       Impact factor: 2.546

4.  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

5.  Grid-free interactive and automated data processing for MR chemical shift imaging data.

Authors:  Yann Le Fur; François Nicoli; Maxime Guye; Sylviane Confort-Gouny; Patrick J Cozzone; Frank Kober
Journal:  MAGMA       Date:  2009-11-03       Impact factor: 2.310

6.  Real-time Correction of Motion and Imager Instability Artifacts during 3D γ-Aminobutyric Acid-edited MR Spectroscopic Imaging.

Authors:  Eva Heckova; Michal Považan; Bernhard Strasser; Patrik Krumpolec; Petra Hnilicová; Gilbert J Hangel; Philipp A Moser; Ovidiu C Andronesi; Andre J van der Kouwe; Peter Valkovic; Barbara Ukropcova; Siegfried Trattnig; Wolfgang Bogner
Journal:  Radiology       Date:  2017-09-28       Impact factor: 11.105

7.  Quantitative multivoxel proton MR spectroscopy study of brain metabolites in patients with amnestic mild cognitive impairment: a pilot study.

Authors:  Zhong-Xian Yang; Shan-Shan Huo; Xiao-Fang Cheng; Zhi-Feng Xu; Zhen Cao; Jie-Xia Zeng; Ye-Yu Xiao; Ke-Zeng You; Wei Chen; Yan-Yan Liu; Ren-Hua Wu
Journal:  Neuroradiology       Date:  2011-07-08       Impact factor: 2.804

8.  Prospective frequency correction using outer volume suppression-localized navigator for MR spectroscopy and spectroscopic imaging.

Authors:  Chu-Yu Lee; In-Young Choi; Phil Lee
Journal:  Magn Reson Med       Date:  2018-05-13       Impact factor: 4.668

9.  3D high-resolution imaging of 2-hydroxyglutarate in glioma patients using DRAG-EPSI at 3T in vivo.

Authors:  Zhongxu An; Vivek Tiwari; Jeannie Baxter; Michael Levy; Kimmo J Hatanpaa; Edward Pan; Elizabeth A Maher; Toral R Patel; Bruce E Mickey; Changho Choi
Journal:  Magn Reson Med       Date:  2018-09-14       Impact factor: 4.668

10.  Challenges of using MR spectroscopy to detect neural progenitor cells in vivo.

Authors:  Z Dong; W Dreher; D Leibfritz; B S Peterson
Journal:  AJNR Am J Neuroradiol       Date:  2009-04-08       Impact factor: 3.825

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