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Written for senior-level and first year graduate students in biomedical signal and image processing, this book describes fundamental signal and image processing techniques that are used to process biomedical information. The book also discusses application of these techniques in the processing of some of the main biomedical signals and images, such as EEG, ECG, MRI, and CT. New features of this edition include the technical updating of each chapter along with the addition of many more examples, the majority of which are MATLAB(R) based.
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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 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.

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

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