Clinical Magnetic Resonance Spectroscopy

Nobody can know everything. For the successful application of techniques based on nuclear magnetic resonance to clinical problems, it is a vital necessity that individuals with widely different skills should learn a little of each others' trades by co-operation and communication. Ernest Cady ha...

Full description

Bibliographic Details
Main Author: Cady, E.B.
Format: eBook
Language:English
Published: New York, NY Springer US 1990, 1990
Edition:1st ed. 1990
Subjects:
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
Table of Contents:
  • 1. An Introduction to Medical Magnetic Resonance Spectroscopy
  • 1.1. The Magnetic Resonance Phenomenon
  • 1.2. Magnetic Resonance in a Clinical Context
  • 1.3. Nuclei with Potential Clinical Applications
  • 1.4. The Development of Biological MRS
  • References
  • 2. Fundamentals of Clinical Magnetic Resonance
  • 2.1. The Origin of the Magnetic Resonance Signal
  • 2.2. The Magnetic Resonance Signal
  • 2.3. The Spectrum
  • 2.4. The Signal-to-Noise Ratio
  • References
  • 3. Clinical Studies
  • 3.1. Introduction
  • 3.2. Studies of the Human Brain
  • 3.3. Studies of Human Skeletal Muscle
  • 3.4. Studies of Human Cardiac Metabolism
  • 3.5. Studies of the Human Liver
  • 3.6. Studies of Human Kidneys
  • 3.7. Studies of Human Testes
  • 3.8. In Vitro Studies of Human Body Fluids
  • 3.9. Studies of Human Red Blood Cells
  • References
  • 4. Practical Aspects of Clinical Magnetic Resonance Spectroscopy Systems
  • 4.1. An Overview of the System
  • 4.2. The Magnet
  • 4.3. The Spectrometer
  • 4.4. Safety Requirements
  • 4.5. Patient Handling
  • References
  • 5. Data Acquisition in Clinical Magnetic Resonance Spectroscopy
  • 5.1. Fundamental Considerations
  • 5.2. Signal Localization
  • 5.3. Spin-Echo Techniques
  • 5.4. Solvent Suppression
  • 5.5. Spectral Editing
  • 5.6. Absolute Quantitation
  • 5.7. Measurement of Relaxation Constants
  • References
  • 6. Spectrum Analysis
  • 6.1. Introduction
  • 6.2. Measurement of the Spectrum
  • 6.3. Other Analysis Methods
  • 6.4. Peak Identification
  • 6.5. Data Reduction
  • 6.6. Testing the Analysis Methods
  • References