Principles of Magnetic Resonance Imaging: A Signal Processing Perspective Review

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(More customer reviews)Magnetic resonance has recently recieved many riches in the form of excellent, definitive texts that have bundled together the advances of the last 20 or so years. Drs. Liang and Lauterbur have added to this trove by writing a text that goes beyond the standard descriptions of magnetic resonance image formation and including many advanced techniques available today, some of which they originated. The ideal audience for this text includes scientists, engineers, and physicians actively developing MRI applications from the physics on up. Though containing many recent developments it contains a core of medical imaging information that will not be outdated. The mathematical depth is sufficient to serve as a reference of basic and sophisticated methods but with enough pedagogical information to tutor the interested student. Liang and Lauterbur should be on the shelf of any serious professional or insightful student.

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In 1971 Dr. Paul C. Lauterbur pioneered spatial information encoding principles that made image formation possible by using magnetic resonance signals. Now Lauterbur, "father of the MRI", and Dr. Zhi-Pei Liang have co-authored the first engineering textbook on magnetic resonance imaging. This long-awaited, definitive text will help undergraduate and graduate students of biomedical engineering, biomedical imaging scientists, radiologists, and electrical engineers gain an in-depth understanding of MRI principles.
The authors use a signal processing approach to describe the fundamentals of magnetic resonance imaging. You will find a clear and rigorous discussion of these carefully selected 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
Complete with a comprehensive set of examples and homework problems, Principles of Magnetic Resonance Imaging is the must-read book to improve your knowledge of this revolutionary technique.

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Biosignal and Medical Image Processing, Second Edition (Signal Processing and Communications) Review

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(More customer reviews)This book has too many typos, especially in important equations. That is very confusing to students who have no idea about signal processing.
And, I don't like the paper used to print this book. I prefer regular printing papers rather than the "mirror" paper that makes my eyeballs tired.

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A Practical Guide to Signal Processing MethodologyJust as a cardiologist can benefit from an oscilloscope-type display of the ECG without a deep understanding of electronics, an engineer can benefit from advanced signal processing tools without always understanding the details of the underlying mathematics. Through the use of extensive MATLAB examples and problems, Biosignal and Medical Image Processing, Second Edition provides readers with the necessary knowledge to successfully evaluate and apply a wide range of signal and image processing tools.The book begins with an extensive introductory section and a review of basic concepts before delving into more complex areas. Topics discussed include classical spectral analysis, basic digital filtering, advanced spectral methods, spectral analysis for time-variant spectrums, continuous and discrete wavelets, optimal and adaptive filters, and principal and independent component analysis. In addition, image processing is discussed in several chapters with examples taken from medical imaging. Finally, new to this second edition are two chapters on classification that review linear discriminators, support vector machines, cluster techniques, and adaptive neural nets. Comprehensive yet easy to understand, this revised edition of a popular volume seamlessly blends theory with practical application. Most of the concepts are presented first by providing a general understanding, and second by describing how the tools can be implemented using the MATLAB software package.Through the concise explanations presented in this volume, readers gain an understanding of signal and image processing that enables them to apply advanced techniques to applications without the need for a complex understanding of the underlying mathematics.A solutions manual is available for instructors wishing to convert this reference to classroom use.

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