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