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Frequency-Selective Quantification of Biomedical Magnetic Resonance Spectroscopy Data

โœ Scribed by Leentje Vanhamme; Tomas Sundin; Paul Van Hecke; Sabine Van Huffel; Rik Pintelon

Publisher
Elsevier Science
Year
2000
Tongue
English
Weight
241 KB
Volume
143
Category
Article
ISSN
1090-7807

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โœฆ Synopsis

In this paper the possibility of obtaining accurate estimates of parameters of selected peaks in the presence of unknown or uninteresting spectral features in biomedical magnetic resonance spectroscopy (MRS) signals is investigated. This problem is denoted by frequency-selective parameter estimation. A new time-domain technique based on maximum-phase finite impulse response (FIR) filters is presented. The proposed method is compared to a number of existing approaches: the application of a weighting function in the time domain, frequency domain fitting using a polynomial baseline, and the time-domain HSVD filter method. The ease of use and low computational complexity of the FIR filter method make it an attractive approach for frequency-selective parameter estimation. The methods are validated using simulations of relevant (13)C and (31)P MRS examples.

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