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Spectral analysis of multichannel MRS data
Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology, Automatic control. Systems and Control.
Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology, Automatic control. Systems and Control.
Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology. Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology, Automatic control. Systems and Control.
2005 (English)In: Journal of Magnetic Resonance, Vol. 175, no 1, 79-91 p.Article in journal (Refereed) Published
Abstract [en]

The use of phased-array receive coils is a well known technique to improve the image quality in magnetic resonance imaging (MRI) studies of, e.g., the human brain. It is common to incorporate proton (1H) magnetic resonance spectroscopy (MRS) experiments in these studies to quantify key metabolites in a region of interest. Detecting metabolites in vivo is often difficult, requiring extensive scans to achieve signal-to-noise ratios (SNR) that provide suitable diagnostic results. Combining the MR absorption spectra obtained from several receive coils is one possible approach to increase the SNR. Previous literature does not give a clear overview of the wide range of possible approaches that can be used to combine MRS data from multiple detector coils. In this paper we consider the multicoil MRS approach and introduce several signal processing tools to address the problem from different nonparametric, semiparametric and parametric perspectives, depending on the amount of available prior knowledge about the data. We present a numerical study of these tools using both simulated 1H MRS data, and experimental MRS data acquired from a 3T MR scanner.

Place, publisher, year, edition, pages
2005. Vol. 175, no 1, 79-91 p.
Keyword [en]
multichannel magnetic resonance spectroscopy; phased-array detectors; damped sinusoidal model; phantom experimental data
Identifiers
URN: urn:nbn:se:uu:diva-76428OAI: oai:DiVA.org:uu-76428DiVA: diva2:104340
Available from: 2007-02-09 Created: 2007-02-09 Last updated: 2011-01-11

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Sandgren, NiclasStoica, PeterSelén, Yngve

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