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