Frequency-selective quantification of biomedical magnetic resonance spectroscopy data. Export

@article{citeulike:1104794, abstract = {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.}, address = {Department of Electrical Engineering (ESAT), Katholieke Universiteit Leuven, Kard. Mercierlaan 94, Leuven, 3001, Belgium. leentje.vanhamme@esat.kuleuven.ac.be}, author = {Vanhamme, L. and Sundin, T. and Van Hecke, P. and Van Huffel, S. and Pintelon, R.}, citeulike-article-id = {1104794}, citeulike-linkout-0 = {http://dx.doi.org/10.1006/jmre.1999.1960}, citeulike-linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/10698640}, citeulike-linkout-2 = {http://www.hubmed.org/display.cgi?uids=10698640}, doi = {10.1006/jmre.1999.1960}, issn = {1090-7807}, journal = {J Magn Reson}, keywords = {mrs, normalization, quantification}, month = {March}, number = {1}, pages = {1--16}, posted-at = {2007-02-13 10:11:02}, priority = {2}, title = {Frequency-selective quantification of biomedical magnetic resonance spectroscopy data.}, url = {http://dx.doi.org/10.1006/jmre.1999.1960}, volume = {143}, year = {2000} }

TY - JOUR ID - citeulike:1104794 L3 - citeulike-article-id:1104794 N2 - 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. IS - 1 JF - J Magn Reson SN - 1090-7807 AD - Department of Electrical Engineering (ESAT), Katholieke Universiteit Leuven, Kard. Mercierlaan 94, Leuven, 3001, Belgium. leentje.vanhamme@esat.kuleuven.ac.be EP - 16 TI - Frequency-selective quantification of biomedical magnetic resonance spectroscopy data. VL - 143 SP - 1 KW - mrs KW - normalization KW - quantification AU - Vanhamme, L AU - Sundin, T AU - Van Hecke, P AU - Van Huffel, S AU - Pintelon, R PY - 2000/03// UR - http://dx.doi.org/10.1006/jmre.1999.1960 ER -