Lemke, C. , Schuck Jr., A., Antoine, J.-P., Sima, D.M. and Osorio Garcia, M.I. (2010) Metabolite-based Wavelets for Analyzing Magnetic Resonance Spectroscopic Signals. In: 2010 IEEE International Conference on Imaging Systems and Techniques, Thessaloniki, Greece, 01-02 Jul 2010, ISBN 9781424464944 (doi: 10.1109/ist.2010.5548527)
Full text not currently available from Enlighten.
Abstract
We analyze Magnetic Resonance Spectroscopic signals by the continuous wavelet transform. Instead of the standard (Morlet) wavelet, we introduce a new class of wavelets, derived from the metabolite data themselves, using the properly normalized autocorrelation function of each signal. This allows to detect without ambiguity the presence of a given metabolite in a signal consisting of many different components.
| Item Type: | Conference Proceedings |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Lemke, Dr Christina |
| Authors: | Lemke, C., Schuck Jr., A., Antoine, J.-P., Sima, D.M., and Osorio Garcia, M.I. |
| College/School: | College of Science and Engineering > School of Engineering > Systems Power and Energy |
| ISSN: | 1558-2809 |
| ISBN: | 9781424464944 |
| Published Online: | 16 August 2010 |
University Staff: Request a correction | Enlighten Editors: Update this record
Deposit and Record Details
Deposit and Record Details