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PMID: 7891533 Published · ppublish English Journal Article

High speed 1H spectroscopic imaging in human brain by echo planar spatial-spectral encoding.

Magnetic resonance in medicine ·Vol. 33 ·No. 1 ·1995-01-00 ·Pages 34-40

Posse S, Tedeschi G, Risinger R, Ogg R, Le Bihan D

Abstract

We introduce a fast and robust spatial-spectral encoding method, which enables acquisition of high resolution short echo time (13 ms) proton spectroscopic images from human brain with acquisition times as short as 64 s when using surface coils. The encoding scheme, which was implemented on a clinical 1.5 Tesla whole body scanner, is a modification of an echo-planar spectroscopic imaging method originally proposed by Mansfield Magn. Reson. Med. 1, 370-386 (1984), and utilizes a series of read-out gradients to simultaneously encode spatial and spectral information. Superficial lipid signals are suppressed by a novel double outer volume suppression along the contours of the brain. The spectral resolution and the signal-to-noise per unit time and unit volume from resonances such as N-acetyl aspartate, choline, creatine, and inositol are comparable with those obtained with conventional methods. The short encoding time of this technique enhances the flexibility of in vivo spectroscopic imaging by reducing motion artifacts and allowing acquisition of multiple data sets with different parameter settings.

MeSH Terms
Artifacts Aspartic Acid/analogs & derivatives,analysis Brain/anatomy & histology,metabolism Brain Chemistry Echo-Planar Imaging/methods Feasibility Studies Humans Image Processing, Computer-Assisted Magnetic Resonance Spectroscopy/methods Time Factors
Chemicals
Aspartic Acid N-acetylaspartate
Authors & Affiliations
5 authors, click to expand affiliations / ORCID
Posse S
Diagnostic Radiology Department, Warren Grant Magnuson Clinical Center.
Tedeschi G
Risinger R
Ogg R
Le Bihan D
Article Info
Journal
Magnetic resonance in medicine
Abbr.
Magn Reson Med
ISSN
0740-3194
Published
1995-01-00
Pages
34-40
Language
English
Region
United States
NLM ID
8505245
Subset
IM
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