Signal Processing in Magnetic Resonance Spectroscopy with Biomedical Applications

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While approaches to mathematical signal processing methods for magnetic resonance spectroscopy are known, their clinical relevance is less understood. Written by a unique interdisciplinary team, a mathematical physicist and clinical researcher, this book bridges the gap between what is known and how to apply it. The authors demonstrate the need for more advanced signal processing methods and suggest that the fast Pade transform (FPT) is optimally suited for this. They discuss how the Pade-optimization greatly improves resolution and yields maximally accurate parametric reconstructions on the metabolite concentrations which distinguish malignant from benign samples.