- Shopping Bag ( 0 items )
Ships from: Chicago, IL
Usually ships in 1-2 business days
Ships from: STERLING HEIGHTS, MI
Usually ships in 1-2 business days
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.
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
Posted April 12, 2006
I truly enjoyed reading this book because with a background in chemistry, I was not sure my knowledge of signal and image processing would be sufficient to fully understand the book. But the book described most complex concepts in a very easy and understandable fashion and I read and comprehended all the concepts in all chapters without any serious problem. The book is full of real-world examples that help readers feel the applications of the introduced concepts. I recommend reading this book to people who to need to have a deep understanding on biomedical signal and image processing.Was this review helpful? Yes NoThank you for your feedback. Report this reviewThank you, this review has been flagged.