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 Spectroscopy with Biomedical Applications explores cutting-
Basic Tasks of Signal Processing in Spectroscopy. The Role of Quantum Mechanics in Signal Processing. Harmonic Transients in Time Signals. Signal-Noise Separation via Froissart Doublets. Pade Processing for Magnetic Resonance (MR) Total Shape Spectra from in vivo Free Induction Decays (FIDs). Exact Reconstructions of Spectral Parameters by FPT. Machine Accurate Pade Quantification and Exact Signal-Noise Separation. Magnetic Resonance Spectroscopy (MRS) and Magnetic Resonance Spectroscopic Imaging (MRSI) in Neuro-Oncology: Achievements and Challenges. Pade Quantification of Malignant and Benign Ovarian MRS Data. Breast Cancer and Non-Malignant Breast Data: Quantification by FPT. Multiplet Resonances in MRS Data from Normal and Cancerous Prostate. General Discussion. Conclusions and Outlooks.