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Addressing the critical need in clinical oncology for robust and stable signal processing in MRS, this book explores cutting-edge theory-based innovations for obtaining reliable quantitative information from MR signals for cancer diagnostics. By defining the natural framework of signal processing using the well-established theory of quantum phys

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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 optima...