Medical Image Processing, Reconstruction and Restoration not only explains the general principles and methods of image processing, but also focuses on recent applications specific to medical imaging.

Features:

• Provides a theoretically exact, yet understandable explanation of concepts, principles, and applications of image processing methods
• Offers practical interpretations of all theoretical conclusions, as derived from the consistent explanations
• Includes topical discussions on image reconstruction, fusion, enhancement, restoration, and analysis
• Contains reference lists featuring sources recommended for further study

Contents

Analogue (Continuous-Space) Image Representaion

• Multidimensional Signals as Image Representation
• Two-Dimensional Fourier Transform
• Two-Dimensional Continuous-Space Systems
• Concept of Stochastic Images

Digital Image Representation

• Digital Image Representation
• Discrete Two-Dimensional Operators
• Discrete Two-Dimensional Linear Transforms
• Discrete Stochastic Images

Planar X-Ray Imaging

• X-Ray Projection Radiography
• Subtractive Angiography

X-Ray Computed Tomography

• Imaging Principle and Geometry
• Measuring Considerations
• Imaging Properties
• Postmeasurement Data Processing in Computed Tomography

Magnetic Resonance Imaging

• Magnetic Resonance Phenomena
• Response Measurement and Interpretation
• Basic MRI Arrangement
• Localization and Reconstruction of Image Data
• Image Quality and Artifacts
• Postmeasurement Data Processing in MRI

Nuclear Imaging

• Planar Gamma Imaging
• Single-Photon Emission Tomography
• Positron Emission Tomography

Ultrasonography

• Two-Dimensional Echo Imaging
• Flow Imaging
• Three-Dimensional Ultrasonography

Other Modalities

• Optical and Infrared Imaging
• Electron Microscopy
• Electrical Impedance Tomography

Reconstructing Tomographic Images

• Reconstruction from Near-Ideal Projections
• Reconstruction from Nonideal Projections
• Other Approaches to Tomographic Reconstruction

Image Fusion

• Ways to Consistency
• Disparity Analysis
• Image Registration
• Image Fusion

Image Enhancement

• Contrast Enhancement
• Sharpening and Edge Enhancement
• Noise Suppression
• Geometrical Distortion Correction

Image Restoration

• Correction of Intensity Distortions
• Geometrical Restitution
• Inverse Filtering
• Restoration Methods Based on Optimization
• Homomorphic Filtering and Deconvolution

Image Analysis

• Local Feature Analysis
• Image Segmentation
• General Morphological Transforms

Medical Image Processing Environment

• Hardware and Software Features
• Principles of Image Compression for Archiving and Communication
• Present Trends in Medical Image Processing

Index

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