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Biomedical Signal and Image Processing, by Kayvan Najarian, Robert Splinter
Download Biomedical Signal and Image Processing, by Kayvan Najarian, Robert Splinter
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All of the biomedical measurement technologies, which are now instrumental to the medical field, are essentially useless without proper signal and image processing. Biomedical Signal and Image Processing is unique in providing a comprehensive survey of all the conventional and advanced imaging modalities and the main computational methods used for processing the data obtained from each.
This book offers self-contained coverage of the mathematics and biology/physiology necessary to build effective algorithms and programs for biomedical signal and image processing applications. The first part of the book details the main signal and image processing, pattern recognition, and feature extraction techniques along with computational methods from other fields such as information theory and stochastic processes. Building on this foundation, the second part explores the major one-dimensional biological signals, the biological origin and importance of each signal, and the commonly used processing techniques with an emphasis on physiology and diagnostic applications, while the third section does the same for imaging modalities.
Throughout the book, the authors rely on practical examples using real data from biomedical systems. They supply several programming examples in MATLAB® to provide hands-on experience and insight
Integrating all major modalities and computational techniques in a single source, Biomedical Signal and Image Processing is a perfect introduction to the field as well as an ideal reference for the established professional.
- Sales Rank: #3812445 in Books
- Brand: CRC Press
- Published on: 2005-12-21
- Ingredients: Example Ingredients
- Original language: English
- Number of items: 1
- Dimensions: 1.04" h x 6.52" w x 9.48" l, .1 pounds
- Binding: Hardcover
- 448 pages
- Used Book in Good Condition
Review
"This is a great book, ideal for a biomedical signal and image processing course…. a great introduction to the topic, while it also includes advanced topics in the field for graduate courses. … a great collection of topics [including] introduction to signal and image processing, advanced signal processing techniques, physiology and specific signal processing techniques used for various biomedical signals, an introduction to medical image formation, and advanced topics on medical image processing. This is a great book, highly recommended to any research and educator in this field."
―Purang Abolmaesumi, Department of Electrical Engineering, University of British Columbia, Vancouver, Canada
"I am not aware of a book that covers both biomedical image processing and biomedical signal processing. There are a large number of books that focus on the physics of biomedical imaging. This book however, balances the coverage of physics of biomedical imaging with biomedical image processing. … I was impressed by how clearly the concepts are explained. The authors’ ability to introduce concepts at the level appropriate for senior undergraduate or graduate level students is impressive. … programming questions at the end of the chapter that will give the reader the opportunity to try out the signal processing techniques introduced in the chapter. Also, sample signals are included on the accompanying CD. … I would definitely use this book as my textbook in a biomedical signal-processing course."
―Shahram Shirani, McMaster University, Hamilton, Ontario, Canada
"… an excellent bridge between the physiological significance of the methods, and the underlying mathematics. … covers a broad range of biomedical problems. … clear, well written, and easy to follow. … this is an excellent course textbook, and also an excellent reference book for professionals."
―Dr. Kristian Sandberg, Computational Solutions, Inc., Boulder, Colorado, USA
About the Author
Kayvan Najarian, Ph.D., is Associate Professor of Computer Science, and Director of the VCU Biomedical Signal and Image Processing Engineering Center within the Department of Computer Science at Virginia Commonwealth University, in Richmond, Virginia.
Most helpful customer reviews
5 of 6 people found the following review helpful.
Too cursory.
By Image processing engineer
This book is divided into two major sections. The first covers the mathematical techniques and computational algorithms for signal processing. The second covers biomedical examples. I feel that the derivations, explanations, and examples are too cursory. It is more like an outline of topics that one might cover in a course. There are much better texts for learning image processing in Matlab (e.g. Gonzalez's "Digital Image Processing using Matlab.")
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