Spectral analysis of multichannel MRS data.
The use of phased-array receive coils is a well-known technique to improve the image quality in magnetic resonance imaging 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.
Sandgren
Niclas
N
Systems and Control Division, Department of Information Technology, Uppsala University, P.O. Box 337, SE-751 05 Uppsala, Sweden.
Stoica
Petre
P
Frigo
Frederick J
FJ
Selén
Yngve
Y
D000465:Algorithms; D001921:Brain / Q000378:metabolism*; D003198:Computer Simulation; D009682:Magnetic Resonance Spectroscopy / Q000379:methods*; D008954:Models, Biological; D008956:Models, Chemical; D009419:Nerve Tissue Proteins / Q000032:analysis / Q000378:metabolism*; D018377:Neurotransmitter Agents / Q000032:analysis / Q000378:metabolism*; D014018:Tissue Distribution
D009419:Nerve Tissue Proteins; D018377:Neurotransmitter Agents