Dzevad Belkic, Karen Belkic

Signal Processing in Magnetic Resonance Spectroscopy with Biomedical Applications (eBook, ePUB)

• Format: ePub

Produktbeschreibung

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 Pade 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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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 468
• Erscheinungstermin: 29. Januar 2010
• Englisch
• ISBN-13: 9781000687347
• Artikelnr.: 57150383

Autorenporträt

D¿evad Belkic is a professor of mathematical radiation physics at the Karolinska Institute in Stockholm, Sweden. Dr. Belkic's current research activities encompass atomic collision physics, radiation physics, radiobiology, magnetic resonance physics and mathematical physics.

Karen Belkic is a physician specialist in internal medicine, adjunct professor of preventive medicine at the Keck School of Medicine of the University of Southern California in Los Angeles, and senior scientist in the oncology and pathology department at the Karolinska Institute in Stockholm, Sweden.

Inhaltsangabe

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. Padé Processing for
Magnetic Resonance (MR) Total Shape Spectra from in vivo Free Induction
Decays (FIDs). Exact Reconstructions of Spectral Parameters by FPT. Machine
Accurate Padé Quantification and Exact Signal-Noise Separation. Magnetic
Resonance Spectroscopy (MRS) and Magnetic Resonance Spectroscopic Imaging
(MRSI) in Neuro-Oncology: Achievements and Challenges. Padé 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.