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Biomedical Signal and Image Processing
by Kayvan Najarian

Biomedical Signal and Image Processing provides a comprehensive survey of all the conventional and advanced imaging modalities and the main computational methods used for processing the data obtained from each.

Features:

  • Presents a comprehensive treatment of all novel and conventional processing techniques along with the principles and applications of biomedical measurement technologies
  • Emphasizes hands-on learning through examples using real biomedical data and programming examples in MATLAB®
  • Surveys the main computational methods associated with each one-dimensional signal and each imaging modality
  • Discusses the basic physiology, biology, chemistry, and physics concepts related to measuring biomedical systems

Contents

Introduction to Digital Signal and Image Processing

  • Signals and Biomedical Signal Processing
  • 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
  • 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
  • Point Processing
  • Mask Processing: Linear Filtering in the Space Domain
  • Frequency Domain Filtering
  • Edge Detection and Segmentation of Images
  • Edge Detection
  • Image Segmentation
  • Wavelet Transform
  • 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
  • Complexity Analysis
  • Cosine Transform
  • Introduction to Stochastic Processes
  • Introduction to Information Theory
  • Registration of Images
  • Clustering and Classification
  • Clustering versus Classification
  • Feature Extraction
  • K-Means: A Simple Clustering Method
  • Bayesian Classifier
  • Maximum Likelihood Method
  • Neural Networks

Processing of Biomedical Signals

  • Electrical Activities of Cell
  • Ion Transport in Biological Cells
  • Electrical Characteristics of Cell Membranes
  • Hodgkin-Huxley Model
  • Electrical Data Acquisition
  • Some Practical Considerations for Biomedical Electrodes
  • Electrocardiogram
  • Function and Structure of the Heart
  • Electrocardiogram: Signal of the Cardiovascular System
  • Cardiovascular Diseases and the ECG
  • Processing and Feature Extraction of ECGs
  • Electroencephalogram
  • 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
  • Electromyogram
  • Muscle
  • EMG: Signal Muscles
  • Neuromuscular Diseases and the EMG
  • Other Applications of the EMG
  • Processing and Feature Extraction of the EMG
  • Other Biomedical Signals
  • Blood Pressure and Blood Flow
  • Electrooculogram
  • Magnetoencephaogram
  • Respiratory Signals
  • More Biomedical Signals

Processing of Biomedical Images

  • Principles of Computed Tomography
  • 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
  • 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
  • Ultrasound Imaging
  • 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
  • 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
  • Optical Microscopy
  • Fluorescent Microscopy
  • Confocal Microscopy
  • Near-Field Scanning Optical Microscopy
  • Electrical Impedance Imaging
  • Electron Microscopy
  • Biometrics

Index

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Biomedical Signal and Image Processing
by Kayvan Najarian
2005 • 448 pages • $98.95 + shipping
Texas residents please add 7 % sales tax

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