z-logo
Premium
Detection of cerebral metabolites by single‐voxel‐based PRESS and COSY techniques at 3T
Author(s) -
Velan S. Sendhil,
Lemieux Susan K.,
Raylman Raymond R.,
Boling Warren,
Hobbs Gerald R.,
Spencer Richard G.,
Sridhar Rajagopalan,
Kuppusamy Periannan,
Thomas M. Albert
Publication year - 2007
Publication title -
journal of magnetic resonance imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 160
eISSN - 1522-2586
pISSN - 1053-1807
DOI - 10.1002/jmri.20968
Subject(s) - voxel , nuclear magnetic resonance , medicine , nuclear medicine , computer science , artificial intelligence , physics
Purpose To compare point‐resolved spectroscopy (PRESS) and localized two‐dimensional (2D) correlated spectroscopy (L‐COSY) in the detection of cerebral metabolites in humans on a clinical scanner at 3T and to estimate their respective inter‐ and intrasubject variances. Materials and Methods Measurements were made on nine healthy subjects to assess intersubject variance, and daily on a single subject over a period of seven days to assess intrasubject variance. All L‐COSY measurements were performed with a voxel size of 27 mL (3 × 3 × 3 cm 3 ) and a measurement time of ∼34 minutes in the occipitoparietal lobe of the brain. Relative metabolite concentrations were estimated with respect to N‐methyl creatine. Results While the sensitivity of PRESS is twice that of L‐COSY, the greater spectral resolution offered by L‐COSY resulted in greater consistency in estimates of the concentrations of several cerebral metabolites, as indicated by a superior intraclass correlation and a significantly lower standard deviation (SD) in a matched pair intrasubject analysis. Conclusion Our pilot results demonstrate that L‐COSY is an effective approach for resolving cerebral metabolites, and demonstrates a lower coefficient of variance (CV) than the conventional 1D localized spectroscopic approach using LC Model for quantification. J. Magn. Reson. Imaging 2007;26:405–409. © 2007 Wiley‐Liss, Inc.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here