Signal processing in magnetic resonance spectroscopy with biomedical applications /
Uses the FPT to Solve the Quantification Problem in MRSAn invaluable tool in non-invasive clinical oncology diagnosticsAddressing the critical need in clinical oncology for robust and stable signal processing in magnetic resonance spectroscopy (MRS), Signal Processing in Magnetic Resonance Spectrosc...
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| Format: | eBook |
| Language: | English |
| Language Notes: | English. |
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Boca Raton :
Taylor & Francis,
2010.
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| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- 1. Basic tasks of signal processing in spectroscopy
- 2. The role of quantum mechanics in signal processing
- 3. Exact quantum-mechanical, Padâe-based recovery of spectral parameters
- 4. Harmonic transients in time signals
- 5. Signal-noise separation via Froissart doublets
- 6. Machine accurate quantification and illustrated signal-noise separation
- 7. Padâe processing for MR spectra from in vivo time signals
- 8. Magnetic resonance in neuro-oncology : achievements and challenges
- 9. Padâe quantification of malignant and benign ovarian MRS data
- 10. Breast cancer and non-malignant breast data : quantification by FPT
- 11. Multiplet resonances inMRS data from normal and cancerous prostate
- 12. Recapitulation of Padâe-optimized processing of biomedical time signals
- 13. Conclusion and outlooks.