Biomedical Signal and Image Processing: 2nd Edition (Hardback) book cover

Biomedical Signal and Image Processing

2nd Edition

By Kayvan Najarian, Robert Splinter

CRC Press

411 pages | 265 B/W Illus.

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pub: 2012-05-04
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Description

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.

Reviews

"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

Table of Contents

INTRODUCTION TO DIGITAL SIGNAL AND IMAGE PROCESSING

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

Summary

Problems

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

Summary

Problems

Image Filtering, Enhancement, and Restoration

Introduction and Overview

Point Processing

Mask Processing: Linear Filtering in the Space Domain

Frequency Domain Filtering

Summary

Problems

Edge Detection and Segmentation of Images

Introduction and Overview

Edge Detection

Image Segmentation

Summary

Problems

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

Summary

Problems

Other Signal and Image Processing Methods

Introduction and Overview

Complexity Analysis

Cosine Transform

Introduction to Stochastic Processes

Introduction to Information Theory

Registration of Images

Summary

Problems

Clustering and Classification

Introduction and Overview

Clustering versus Classification

Feature Extraction

K-Means: A Simple Clustering Method

Bayesian Classifier

Maximum Likelihood Method

Neural Networks

Summary

Problems

PROCESSING OF BIOMEDICAL SIGNALS

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

Summary

Problems

Electrocardiogram

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

Summary

Problems

Electroencephalogram

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

Summary

Problems

Electromyogram

Introduction and Overview

Muscle

EMG: Signal Muscles

Neuromuscular Diseases and the EMG

Other Applications of the EMG

Processing and Feature Extraction of the EMG

Summary

Problems

Other Biomedical Signals

Introduction and Overview

Blood Pressure and Blood Flow

Electrooculogram

Magnetoencephaogram

Respiratory Signals

More Biomedical Signals

Summary

Problems

PROCESSING OF BIOMEDICAL IMAGES

Principles of Computed Tomography

Introduction and Overview

Formulation of Attenuation Computed Tomography

The Fourier Slice Theorem

Summary

Problems

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

Summary

Problems

Magnetic Resonance Imaging

Introduction and Overview

Physical and Physiological Principles of MRI

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

Summary

Problems

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

Summary

Problems

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

Summary

Problems

Other Biomedical Imaging Techniques

Introduction and Overview

Optical Microscopy

Fluorescent Microscopy

Confocal Microscopy

Near-Field Scanning Optical Microscopy

Electrical Impedance Imaging

Electron Microscopy

Biometrics

Summary

Problems

RELATED TITLES

INDEX

About the Authors

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.

Subject Categories

BISAC Subject Codes/Headings:
MED009000
MEDICAL / Biotechnology
TEC015000
TECHNOLOGY & ENGINEERING / Imaging Systems
TEC059000
TECHNOLOGY & ENGINEERING / Biomedical