Principles of Magnetic Resonance Imaging: A Signal Processing Perspective / Edition 1

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Biomedical/Electrical Engineering Principles of Magnetic Resonance Imaging A Signal Processing Perspective A volume in the IEEE Press Series in Biomedical Engineering Metin Akay, Series Editor Since its inception in 1971, MRI has developed into a premier tool for anatomical and functional imaging. Principles of Magnetic Resonance Imaging provides a clear and comprehensive treatment of MR image formation principles from a signal processing perspective. You will find discussion of these essential topics: Mathematical fundamentals Signal generation and detection principles Signal characteristics Signal localization principles Image reconstruction techniques Image contrast mechanisms Image resolution, noise, and artifacts Fast-scan imaging Constrained reconstruction Spatial information encoding Principles of Magnetic Resonance Imaging contains a comprehensive set of examples and homework problems. This textbook will provide students of biomedical engineering, biophysics, chemistry, electrical engineering, and radiology with a systematic, in-depth understanding of MRI principles.

"...this textbook provides a clear & comprehensive treatment of MR image foundation principles from a signal processing persepective...including examples & homework problems."

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Editorial Reviews

Provides a clear and comprehensive treatment of magnetic resonance imaging (MRI) formation principles from a signal processing perspective. Topics covered include mathematical fundamentals, signal generation and characteristics, detection and localization principles, and image reconstruction, contrast mechanisms, and resolution. Includes examples and homework problems. Liang teaches in the department of electrical and computer engineering and the Beckman Institute for Advanced Science and Technology at the University of Illinois-Urbana-Champaign (UIUC). Lauterbut teaches in the Bioengineering Program at the Beckman Institute at UIUC. Annotation c. Book News, Inc., Portland, OR (
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Product Details

Meet the Author

About the Authors
Zhi-Pei Liang is a faculty member in the Department of Electrical and Computer Engineering (ECE) and the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign (UIUC). Dr. Liang has contributed to the theory and applications of image reconstruction, constrained imaging, and image analysis. He received the Sylvia Sorkin Greenfield Best Paper Award of the Medical Physics Journal in 1990 and the National Science Foundation Career Award in 1995. Dr. Liang was named a Beckman Fellow of the UIUC Center for Advanced Study in 1997 and a Henry Magnuski Scholar for Outstanding Young Faculty Member in the ECE Department in 1999.
Paul C. Lauterbur is a Center-for-Advanced-Study professor of Medical Information Sciences, Chemistry, and Molecular and Integrative Physiology and professor in the Center for Biophysics and Computational Biology, the Bioengineering Program, and the Beckman Institute all at the University of Illinois at Urbana-Champaign. Before conceiving of and demonstrating magnetic resonance imaging in 1971 1972, Dr. Lauterbur used nuclear magnetic resonance spectroscopy to study molecular structures. Among his numerous awards are the 1987 National Medal of Science, 1990 Bower Award and Prize for Achievement in Science, and 1994 Kyoto Prize for Advanced Technology. Dr. Lauterbur is a member of the National Academy of Sciences.

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Table of Contents




Mathematical Fundamentals.

Signal Generation and Detection.

Signal Characteristics.

Signal Localization.

Image Reconstruction.

Image Contrast.

Image Resolution, Noise, and Artifacts.

Fast-Scan Imaging.

Constrained Reconstruction.

Appendix A: Mathematical Formulas.

Appendix B: Glossary.

Appendix C: Abbreviations.

Appendix D: Mathematical Symbols.

Appendix E: Physical Constants.



About the Authors.

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