Fast Removal of Residual Water in Proton Spectra Export

@article{citeulike:1104791, abstract = {Quantification of metabolites in1H spectra is difficult because of the presence of an unwanted water signal. Preprocessing, or removing the water contribution of a1H spectrum, in the time domain is usually done using the state-space approach HSVD. HSVD removes the residual water and its side lobes, thereby reducing the baseline for the metabolites of interest and allowing subsequent data analysis using more sophisticated nonlinear least squares algorithms. However, the HSVD algorithm is computationally expensive because it estimates the signal subspace using the singular value decomposition (SVD). We show here that replacing the SVD by a low-rank revealing decomposition speeds up the computations without affecting the accuracy of the wanted parameter estimates.}, author = {Vanhamme, Leentje and Fierro, Ricardo D. and Van Huffel, Sabine and de Beer, Ron}, citeulike-article-id = {1104791}, citeulike-linkout-0 = {http://dx.doi.org/10.1006/jmre.1998.1425}, citeulike-linkout-1 = {http://www.sciencedirect.com/science/article/B6WJX-45KNB2C-R/2/83bd19bfa2a5c086845f6e858bb782fb}, doi = {10.1006/jmre.1998.1425}, journal = {Journal of Magnetic Resonance}, keywords = {mrs, normalization}, month = {June}, number = {2}, pages = {197--203}, posted-at = {2007-02-13 10:10:09}, priority = {1}, title = {Fast Removal of Residual Water in Proton Spectra}, url = {http://dx.doi.org/10.1006/jmre.1998.1425}, volume = {132}, year = {1998} }

TY - JOUR ID - citeulike:1104791 L3 - citeulike-article-id:1104791 N2 - Quantification of metabolites in1H spectra is difficult because of the presence of an unwanted water signal. Preprocessing, or removing the water contribution of a1H spectrum, in the time domain is usually done using the state-space approach HSVD. HSVD removes the residual water and its side lobes, thereby reducing the baseline for the metabolites of interest and allowing subsequent data analysis using more sophisticated nonlinear least squares algorithms. However, the HSVD algorithm is computationally expensive because it estimates the signal subspace using the singular value decomposition (SVD). We show here that replacing the SVD by a low-rank revealing decomposition speeds up the computations without affecting the accuracy of the wanted parameter estimates. IS - 2 JF - Journal of Magnetic Resonance EP - 203 TI - Fast Removal of Residual Water in Proton Spectra VL - 132 SP - 197 KW - mrs KW - normalization AU - Vanhamme, Leentje AU - Fierro, Ricardo AU - Van Huffel, Sabine AU - de Beer, Ron PY - 1998/06// UR - http://dx.doi.org/10.1006/jmre.1998.1425 ER -