Signal Processing in Magnetic Resonance Spectroscopy with Biomedical Applications

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 physics, it illustrates how advances in signal processing can optimize MRS. Applying the fast Padé transform (FPT) to several problems in oncology diagnostics, including ovarian, breast, and prostate cancer, the book examines the remarkable ability of the FPT to unambiguously quantify isolated, tightly overlapped, and nearly confluent resonances.
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Biomedical Engineering
Digital Signal Processing
Radiology
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