A comparison is made between two optimization procedures and two data models for automated analysis of in vivo proton MR spectra of brain, typical of that obtained using MR spectroscopic imaging at 1.5 Tesla. First, a shift invariant wavelet filter is presented that provides improved performance ove
Characterization of the macromolecule baseline in localized 1H-MR spectra of human brain
โ Scribed by L. Hofmann; J. Slotboom; C. Boesch; R. Kreis
- Publisher
- John Wiley and Sons
- Year
- 2001
- Tongue
- English
- Weight
- 230 KB
- Volume
- 46
- Category
- Article
- ISSN
- 0740-3194
- DOI
- 10.1002/mrm.1269
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โฆ Synopsis
Abstract
Shortโechoโtime magnetic resonance spectra of human brain contain broad contributions from macromolecules. As they are a priori of unknown shape and intensity, they pose a problem if one wants to quantitate the overlying spectral features from lowโmolecularโweight metabolites. On the other hand, the macromolecular contributions may provide relevant clinical information themselves, if properly evaluated. Several methods, based on T~1~, T~2~, or spectral shape, have previously been suggested to suppress or edit the macromolecule contributions. Here, a method is presented based on a series of saturation recovery scans and that allows for simultaneous recording of the macromolecular baseline and the fully relaxed metabolite spectrum. In comparison to an inversion recovery technique aimed at nulling signals from longโT~1~ components, the saturation recovery method is less susceptible to T~1~ differences inherent in signals from different metabolites or introduced by pathology. The saturation recovery method was used to quantitate the macromolecular baseline in white and/or gray matter locations of the human brain in 40 subjects. It was found that the content and composition of MR visible macromolecules depends on cerebral location, as well as the age of the investigated subject, while no gender dependence could be found. Magn Reson Med 46:855โ863, 2001. ยฉ 2001 WileyโLiss, Inc.
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