Biomedical Signal and Image Processing

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. Lecture notes in PDF and PowerPoint are available on an accompanying CD.

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.

INTRODUCTION TO DIGITAL SIGNAL AND IMAGE PROCESSINGSignals 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 ProblemsFourier 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 ProblemsImage Filtering, Enhancement, and Restoration Introduction and Overview Point Processing Mask Processing: Linear Filtering in the Space Domain Frequency Domain Filtering Summary ProblemsEdge Detection and Segmentation of Images Introduction and Overview Edge Detection Image Segmentation Summary ProblemsWavelet 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 ProblemsOther Signal and Image Processing Methods Introduction and Overview Complexity Analysis Cosine Transform Introduction to Stochastic Processes Introduction to Information Theory Registration of Images Summary ProblemsClustering and Classification Introduction and Overview Clustering versus Classification Feature Extraction K-Means: A Simple Clustering Method Bayesian Classifier Maximum Likelihood Method Neural Networks Summary ProblemsPROCESSING OF BIOMEDICAL SIGNALSElectrical 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 ProblemsElectrocardiogram 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 ProblemsElectroencephalogram 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 ProblemsElectromyogram 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 ProblemsOther Biomedical Signals Introduction and Overview Blood Pressure and Blood Flow Electrooculogram Magnetoencephaogram Respiratory Signals More Biomedical Signals Summary ProblemsPROCESSING OF BIOMEDICAL IMAGESPrinciples of Computed Tomography Introduction and Overview Formulation of Attenuation Computed Tomography The Fourier Slice Theorem Summary ProblemsX-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 ProblemsMagnetic 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 ProblemsUltrasound 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 ProblemsPositron 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 ProblemsOther Biomedical Imaging Techniques Introduction and Overview Optical Microscopy Fluorescent Microscopy Confocal Microscopy Near-Field Scanning Optical Microscopy Electrical Impedance Imaging Electron Microscopy Biometrics Summary ProblemsRELATED TITLESINDEX