Automated spectral analysis II: application of wavelet shrinkage for characterization of non-parameterized signals.
Publication
, Journal Article
Young, K; Soher, BJ; Maudsley, AA
Published in: Magn Reson Med
December 1998
An iterative method for differentiating between known resonances and uncharacterized baseline contributions in MR spectra is described. The method alternates parametric modeling, using a priori knowledge of spectral parameters, with non-parametric characterization of remaining signal components, using wavelet shrinkage and denoising. Rapid convergence of the iterative method is demonstrated, and examples are shown for analysis of simulated data and an in vivo 1H spectrum from the brain. Results show good separation between metabolite signals and strong baseline contributions.
Duke Scholars
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Published In
Magn Reson Med
DOI
ISSN
0740-3194
Publication Date
December 1998
Volume
40
Issue
6
Start / End Page
816 / 821
Location
United States
Related Subject Headings
- Statistics, Nonparametric
- Nuclear Medicine & Medical Imaging
- Models, Statistical
- Magnetic Resonance Spectroscopy
- Least-Squares Analysis
- Humans
- Fourier Analysis
- Creatine
- Computer Simulation
- Choline
Citation
APA
Chicago
ICMJE
MLA
NLM
Young, K., Soher, B. J., & Maudsley, A. A. (1998). Automated spectral analysis II: application of wavelet shrinkage for characterization of non-parameterized signals. Magn Reson Med, 40(6), 816–821. https://doi.org/10.1002/mrm.1910400606
Young, K., B. J. Soher, and A. A. Maudsley. “Automated spectral analysis II: application of wavelet shrinkage for characterization of non-parameterized signals.” Magn Reson Med 40, no. 6 (December 1998): 816–21. https://doi.org/10.1002/mrm.1910400606.
Young K, Soher BJ, Maudsley AA. Automated spectral analysis II: application of wavelet shrinkage for characterization of non-parameterized signals. Magn Reson Med. 1998 Dec;40(6):816–21.
Young, K., et al. “Automated spectral analysis II: application of wavelet shrinkage for characterization of non-parameterized signals.” Magn Reson Med, vol. 40, no. 6, Dec. 1998, pp. 816–21. Pubmed, doi:10.1002/mrm.1910400606.
Young K, Soher BJ, Maudsley AA. Automated spectral analysis II: application of wavelet shrinkage for characterization of non-parameterized signals. Magn Reson Med. 1998 Dec;40(6):816–821.
Published In
Magn Reson Med
DOI
ISSN
0740-3194
Publication Date
December 1998
Volume
40
Issue
6
Start / End Page
816 / 821
Location
United States
Related Subject Headings
- Statistics, Nonparametric
- Nuclear Medicine & Medical Imaging
- Models, Statistical
- Magnetic Resonance Spectroscopy
- Least-Squares Analysis
- Humans
- Fourier Analysis
- Creatine
- Computer Simulation
- Choline