Biomedical Signal and Image Processing, Second Edition / Edition 2

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First published in 2005, Biomedical Signal and Image Processing received wide and welcome reception from universities and industry research institutions alike, offering detailed, yet accessible information at the reference, upper undergraduate, and first year graduate level. Retaining all of the quality and precision of the first edition, Biomedical Signal and Image Processing, Second Edition offers a number of revisions and improvements to provide the most up-to-date reference available on the fundamental signal and image processing techniques that are used to process biomedical information.

Addressing the application of standard and novel processing techniques to some of today’s principle biomedical signals and images over three sections, the book begins with an introduction to digital signal and image processing, including Fourier transform, image filtering, edge detection, and wavelet transform. The second section investigates specifically biomedical signals, such as ECG, EEG, and EMG, while the third focuses on imaging using CT, X-Ray, MRI, ultrasound, positron, and other biomedical imaging techniques.

Updated and expanded, Biomedical Signal and Image Processing, Second Edition offers numerous additional, predominantly MATLAB, examples to all chapters to illustrate the concepts described in the text and ensure a complete understanding of the material. The author takes great care to clarify ambiguities in some mathematical equations and to further explain and justify the more complex signal and image processing concepts to offer a complete and understandable approach to complicated concepts.

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Editorial Reviews

From the Publisher
"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

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Product Details

  • ISBN-13: 9781439870334
  • Publisher: Taylor & Francis
  • Publication date: 5/14/2012
  • Edition description: New Edition
  • Edition number: 2
  • Pages: 411
  • Product dimensions: 6.20 (w) x 9.30 (h) x 1.00 (d)

Meet 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.

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Table of Contents


Signals and Biomedical Signal Processing
Introduction and Overview
What is a "Signal"?
Analog, Discrete, and Digital Signals
Processing and Transformation of Signals
Signal Processing for Feature Extraction
Some Characteristics of Digital Images
Fourier Transform
Introduction and Overview
One-Dimensional Continuous Fourier Transform
Sampling and NYQUIST Rate
One-Dimensional Discrete Fourier Transform
Two-Dimensional Discrete Fourier Transform
Filter Design
Image Filtering, Enhancement, and Restoration
Introduction and Overview
Point Processing
Mask Processing: Linear Filtering in the Space Domain
Frequency Domain Filtering
Edge Detection and Segmentation of Images
Introduction and Overview
Edge Detection
Image Segmentation
Wavelet Transform
Introduction and Overview
From Fourier Transform to Short-Time Fourier Transform
One-Dimensional Continuous Wavelet Transform
One-Dimensional Discrete Wavelet Transform
Two-Dimensional Wavelet Transform
Main Applications of the DWT
Discrete Wavelet Transform in MATLAB
Other Signal and Image Processing Methods
Introduction and Overview
Complexity Analysis
Cosine Transform
Introduction to Stochastic Processes
Introduction to Information Theory
Registration of Images
Clustering and Classification
Introduction and Overview
Clustering versus Classification
Feature Extraction
K-Means: A Simple Clustering Method
Bayesian Classifier
Maximum Likelihood Method
Neural Networks


Electrical Activities of Cell
Introduction and Overview
Ion Transport in Biological Cells
Electrical Characteristics of Cell Membranes
Hodgkin-Huxley Model
Electrical Data Acquisition
Some Practical Considerations for Biomedical Electrodes
Introduction and Overview
Function and Structure of the Heart
Electrocardiogram: Signal of the Cardiovascular System
Cardiovascular Diseases and the ECG
Processing and Feature Extraction of ECGs
Introduction and Overview
The Brain and Its Functions
Electroencephalogram: Signal of the Brain
Evoked Potentials
Diseases of the Central Nervous System and the EEG
EEG for Assessment of Anesthesia
Processing and Feature Extraction of EEGs
Introduction and Overview
EMG: Signal Muscles
Neuromuscular Diseases and the EMG
Other Applications of the EMG
Processing and Feature Extraction of the EMG
Other Biomedical Signals
Introduction and Overview
Blood Pressure and Blood Flow
Respiratory Signals
More Biomedical Signals


Principles of Computed Tomography
Introduction and Overview
Formulation of Attenuation Computed Tomography
The Fourier Slice Theorem
X-Ray Imaging and Computed Tomography
Introduction and Overview
Physics of X-Rays
Attenuation-Based X-Ray Imaging
Image Quality
Computed Tomography
Biomedical CT Scanners
Diagnostic Applications of X-Ray Imaging
CT Images for Stereotactic Surgeries
CT Registration for Other Image-Guided Interventions
Complications of X-Ray Imaging
Magnetic Resonance Imaging
Introduction and Overview
Physical and Physiological Principles of MRI
Formulation of MRI Reconstruction
Functional MRI (fMRI)
Applications of MRI and fMRI
Processing and Feature Extraction of MRI
Comparison of MRI with Other Imaging Modalities
Registration with MR Images
Ultrasound Imaging
Introduction and Overview
Why Ultrasound Imaging?
Generation and Detection of Ultrasound Waves
Physical and Physiological Principles of Ultrasound
Resolution of Ultrasound Imaging Systems
Ultrasound Imaging Modalities
Modes of Ultrasound Image Representation
Ultrasound Image Artifacts
Three-Dimensional Ultrasound Image Reconstruction
Applications of Ultrasound Imaging
Processing and Feature Extraction of Ultrasonic Images
Image Registration
Comparison of CT, MRI, and Ultrasonic Images
Bio-Effects of Ultrasound
Positron Emission Tomography
Introduction and Overview
Physical and Physiological Principles of PET
PET Signal Acquisition
PET Image Formation
Significance of PET
Applications of PET
Processing and Feature Extraction of PET Images
Comparison of CT, MRI, Ultrasonic, and PET Images
Other Biomedical Imaging Techniques
Introduction and Overview
Optical Microscopy
Fluorescent Microscopy
Confocal Microscopy
Near-Field Scanning Optical Microscopy
Electrical Impedance Imaging
Electron Microscopy

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