4.5 Article

MR Spectroscopy of the Human Brain With Enhanced Singla Intensity at Ultrashort Echo Times on a Clinical Platform at 3T and 7T

期刊

MAGNETIC RESONANCE IN MEDICINE
卷 61, 期 6, 页码 1279-1285

出版社

WILEY
DOI: 10.1002/mrm.21961

关键词

human brain; proton magnetic resonance spectroscopy; high magnetic field; short echo time; 3T; 7T

资金

  1. Centre d'Imagerie BioMedicale (CIBM) of the University of Lausanne (UNIL)
  2. University of Geneva (UNIGE)
  3. Hopitaux Universitaires de Geneve (HUG)
  4. Centre Hospitalier Universitaire Vaudois (CHUV)
  5. Ecole Poly-technique Federale de Lausanne (EPFL)
  6. Leenaards Foundation
  7. Jeantet Foundation

向作者/读者索取更多资源

Recently, the spin-echo full-intensity acquired localized (SPECIAL) spectroscopy technique was proposed to unite the advantages of short TEs on the order of milliseconds (ms) with full sensitivity and applied to in vivo rat brain. In the present study, SPECIAL was adapted and optimized for use on a clinical platform at 3T and 7T by combining interleaved water suppression (WS) and outer volume saturation (OVS), optimized sequence timing, and improved shimming using FASTMAP. High-quality single voxel spectra of human brain were acquired at TEs below or equal to 6 ms on a clinical 3T and 7T system for six volunteers. Narrow linewidths (6.6 +/- 0.6 Hz at 3T and 12.1 +/- 1.0 Hz at 7T for water) and the high signal-to-noise ratio (SNR) of the artifact-free spectra enabled the quantification of a neurochemical profile consisting of 18 metabolites with Cramer-Rao lower bounds (CRLBs) below 20% at both field strengths. The enhanced sensitivity and increased spectral resolution at 7T compared to 3T allowed a two-fold reduction in scan time, an increased precision of quantification for 12 metabolites, and the additional quantification of lactate with CRLB below 20%. Improved sensitivity at 7T was also demonstrated by a 1.7-fold increase in average SNR (= peak height/root mean square [RMS]-of-noise) per unit-time. Magn Reson Med 61:1279-1285, 2009. (C) 2009 Wiley-Liss, Inc.

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