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9780470624586

Advanced Biomedical Image Analysis

by
  • ISBN13:

    9780470624586

  • ISBN10:

    0470624582

  • Edition: 1st
  • Format: Hardcover
  • Copyright: 2010-12-28
  • Publisher: Wiley
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Supplemental Materials

What is included with this book?

Summary

This text provides readers with a comprehensive reference of cutting-edge advanced techniques of quantitative image analysis with a focus on biomedical applications. It offers both theory and practical examples for immediate application of the topics covered as well as for in-depth study. The bonus live DVD includes the algorithm software presented in the book, which other image analysis programs do not offer. Members of the academic community doing image-related research as well as members of the professional R&D sector and graduate educators and students will rely on this text.

Author Biography

Mark A. Haidekker, PhD, is an associate professor in the Faculty of Engineering at the University of Georgia. Dr. Haidekker develops image analysis methods based on modern imaging modalities, including computed tomography (CT), magnetic resonance imaging (MRI), and optical imaging. Specific areas of his research include the relationship between images of organs and their biomechanical properties, the development and improvement of laser-based imaging modalities, and the development of methods to image microviscosity and micro-flow patterns with mechanosensitive fluorescent molecular rotors.

Table of Contents

Preface
AcknowledgmentS
Image Analysis - A Perspective
Introduction
Main Biomedical Imaging Modalities
Biomedical Image Analysis
Current Trends in Biomedical Imaging
About this Book
Chapter References
Survey of Fundamental Image Processing Operators
Statistical Image Description
Brightness and Contrast Manipulation
Image enhancement and restoration
Intensity-based segmentation (thresholding)
Multidimensional thresholding
Image calculations
Binary image processing
Biomedical Examples
Chapter References
Image Processing in the Frequency Domain
The Fourier Transform
Fourier-based filtering
Other integral transforms: the discrete cosine transform and the Hartley transform
Biomedical examples
Chapter References
Wavelet-Based Filtering
Introduction to the wavelet transform and multiscale decomposition
Wavelet-based filtering
Comparison of frequency-domain analysis to wavelet analysis
Biomedical examples
Chapter References
Adaptive Filtering
Adaptive Filter Principles
Adaptive Noise Reduction
Adaptive filters in the frequency domain, adaptive Wiener filters
Segmentation with local adaptive thresholds and related methods
Biomedical examples
Chapter References
Deformable Models and Active Contours
The Principle of Deformable Models
Two-dimensional active contours (Snakes)
Three-dimensional active contours
Live Wire techniques
Biomedical Examples
Chapter References
The Hough Transform
Detecting lines and edges with the Hough transform
Detection of circles and ellipses with the Hough transform
The Generalized Hough Transform
The Randomized Hough Transform
Biomedical Examples
Chapter References
Texture Analysis
Statistical texture classification
Texture classification with local neighborhood methods
Frequency-Domain Methods for Texture classification
Run-Lengths
Other Classification Methods
Biomedical Examples
Chapter References
Shape Analysis
Cluster Labeling
Spatial-Domain Shape Metrics
Statistical Moment Invariants
Chain Codes
Fourier descriptors
Topological Analysis
Biomedical Examples
Chapter References
Fractal approaches to image analysis
Self-similarity and the fractal dimension
Estimation techniques for the fractal dimension in binary images
Estimation techniques for the fractal dimension in grayscale images
Fractal dimension in the frequency domain
The local Hölder exponent
Biomedical Examples
Chapter References
Image Registration
Linear Spatial Transformations
Nonlinear Transformations
Registration Quality Metrics
Interpolation Methods for Image Registration
Biomedical Examples
Chapter References
Image storage, transport, and compression
Image size, resolution, and depth
Image Archiving, DICOM, and PACS
Lossless Image Compression
Lossy Image Compression
Biomedical Examples
Chapter References
Image Visualization
Grayscale image visualization
Color representation of grayscale images
Contour Lines
Surface rendering
Volume visualization
Interactive 3D rendering and Animation
Biomedical Examples
Chapter References
Image Analysis and Visualization Software
Image Processing Software - an Overview
ImageJ
Examples for image processing programs
Crystal Image
OpenDX
Wavelet-related software
Algorithm Implementation
Chapter References
Image Analysis with Crystal Image
Software provided on DVD
Table of Contents provided by Publisher. All Rights Reserved.

Supplemental Materials

What is included with this book?

The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.

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