Author:

Keywords:

SISTA, Science & Technology, Technology, Engineering, Multidisciplinary, Instruments & Instrumentation, Engineering, semi-parametric estimation, parameter space, function space, hyper-parameters, magnetic resonance spectroscopy, in vivo, unknown lineshape, MAGNETIC-RESONANCE-SPECTROSCOPY, BRAIN, TIME, RESOLUTION, MRS, SIGNALS, DESIGN, CORTEX, COIL, 0203 Classical Physics, 0906 Electrical and Electronic Engineering, Applied Physics, 4008 Electrical engineering, 4009 Electronics, sensors and digital hardware

Abstract:

Magnetic resonance spectroscopy (MRS) is the method of choice for noninvasive in vivo measurement of metabolites in patients. When the model function describing the acquired MRS signal is incomplete, semi-parametric techniques are required for estimation of the wanted metabolite concentrations. In this work, incompleteness means that the model function of the MRS signal decay is unknown. We devised the simplest method yet for avoiding cumbersome searches in function space, attendant on semi-parametric estimation. This is based on the assumption that all sinusoids in the MRS signal have equal decay and that this decay has no high-frequency components. Application of the method through a plug-in for the metabolite quantitation software package jMRUI is envisioned. © 2011 IOP Publishing Ltd.