Advanced Biomedical Image Analysis

Cover Image Copyright Year: 2011
Author(s): Mark Haidekker
Book Type: Wiley-IEEE Press
Content Type : Books & eBooks
Topics: Bioengineering ;  Components, Circuits, Devices & Systems ;  Computing & Processing ;  Signal Processing & Analysis
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Abstract

A comprehensive reference of cutting-edge techniques for quantitative image processing and analysis

Medical diagnostics and intervention and biomedical research rely progressively on imaging techniques, namely, the ability to capture, store, analyze, and display images at the organ, tissue, cellular, and molecular level. These tasks are supported by increasingly powerful computer methods to process and analyze images. This text serves as an authoritative resource and self-study guide explaining sophisticated techniques of quantitative image analysis, with a focus on biomedical applications. It offers both theory and practical examples for immediate application of the topics as well as for in-depth study.

Advanced Biomedical Image Analysis presents methods in the four major areas of image processing: image enhancement and restoration; image segmentation; image quantification and classification; and image visualization. In each instance, the theory, mathematical founda ion, and basic description of an image processing operator is provided, as well as a discussion of performance features, advantages, and limitations. Key algorithms are provided in pseudo-code to help with implementation, and biomedical examples are included in each chapter.

Image registration, storage, transport, and compression are also covered, and there is a review of image analysis and visualization software. The accompanying live DVD contains a selection of image analysis software, and it provides most of the algorithms from the book so readers can immediately put their new knowledge to use.

Members of the academic community involved in image-related research as well as members of the professional R&D sector will rely on this volume. It is also well-suited as a textbook for graduate-level image processing classes in the computer science and engineering fields.

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      Frontmatter

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      The prelims comprise:

    • Half Title

    • Title

    • Copyright

    • Contents

    • Preface

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    Color Plates

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    The color illustrations for Chapters 2, 6, 8, 9, 10, 11, 12, 13 and 14 are included, as follows:

  • Figures 2.8, 2.13

  • Figures 6.5, 6.7, 6.13

  • Figures 8.8, 8.14

  • Figure 9.1

  • Figures 10.7, 10.8, 10.15, 10.17, 10.18

  • Figures 11.3, 11.4

  • Figure 12.8

  • Figures 13.2, 13.3, 13.4, 13.7, 13.10, 13.12, 13.13

  • Figures 14.6, 14.8

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    Image Analysis: A Perspective

    Advanced Biomedical Image Analysis
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    This chapter contains sections titled:

  • Main Biomedical Imaging Modalities

  • Biomedical Image Analysis

  • Current Trends in Biomedical Imaging

  • About This Book

  • References

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    Survey of Fundamental Image Processing Operators

    Advanced Biomedical Image Analysis
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    This chapter contains sections titled:

  • Statistical Image Description

  • Brightness and Contrast Manipulation

  • Image Enhancement and Restoration

  • Intensity-Based Segmentation (Thresholding)

  • Multidimensional Thresholding

  • Image Calculations

  • Binary Image Processing

  • Biomedical Examples

  • References

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    Image Processing in the Frequency Domain

    Advanced Biomedical Image Analysis
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    This chapter contains sections titled:

  • The Fourier Transform

  • Fourier-Based Filtering

  • Other Integral Transforms: The Discrete Cosine Transform and the Hartley Transform

  • Biomedical Examples

  • References

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    The Wavelet Transform and WaveletBased Filtering

    Advanced Biomedical Image Analysis
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    This chapter contains sections titled:

  • One-Dimensional Discrete Wavelet Transform

  • Two-Dimensional Discrete Wavelet Transform

  • Wavelet-Based Filtering

  • Comparison of Frequency-Domain Analysis to Wavelet Analysis

  • Biomedical Examples

  • References

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    Adaptive Filtering

    Advanced Biomedical Image Analysis
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    This chapter contains sections titled:

  • Adaptive Noise Reduction

  • Adaptive Filters in the Frequency Domain: Adaptive Wiener Filters

  • Segmentation with Local Adaptive Thresholds and Related Methods

  • Biomedical Examples

  • References

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    Deformable Models and Active Contours

    Advanced Biomedical Image Analysis
    Page(s): 173 - 210
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    This chapter contains sections titled:
    Two-Dimensional Active Contours (Snakes)
    Three-Dimensional Active Contours
    Live-Wire Techniques
    Biomedical Examples
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    The Hough Transform

    Advanced Biomedical Image Analysis
    Page(s): 211 - 235
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    This chapter contains sections titled:
    Detecting Lines and Edges with the Hough Transform
    Detection of Circles and Ellipses with the Hough Transform
    Generalized Hough Transform
    Randomized Hough Transform
    Biomedical Examples
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    Texture Analysis

    Advanced Biomedical Image Analysis
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    This chapter contains sections titled:

  • Statistical Texture Classification

  • Texture Classification with Local Neighborhood Methods

  • Frequency-Domain Methods for Texture Classification

  • Run Lengths

  • Other Classification Methods

  • Biomedical Examples

  • References

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    Shape Analysis

    Advanced Biomedical Image Analysis
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    This chapter contains sections titled:

  • Cluster Labeling

  • Spatial-Domain Shape Metrics

  • Statistical Moment Invariants

  • Chain Codes

  • Fourier Descriptors

  • Topological Analysis

  • Biomedical Examples

  • References

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    Fractal Approaches to Image Analysis

    Advanced Biomedical Image Analysis
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    This chapter contains sections titled:

  • Self-Similarity and the Fractal Dimension

  • Estimation Techniques for the Fractal Dimension in Binary Images

  • Estimation Techniques for the Fractal Dimension in Gray-Scale Images

  • Fractal Dimension in the Frequency Domain

  • Local H¿¿lder Exponent

  • Biomedical Examples

  • References

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    Image Registration

    Advanced Biomedical Image Analysis
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    Wiley-IEEE Press eBook Chapters

    This chapter contains sections titled:

  • Linear Spatial Transformations

  • Nonlinear Transformations

  • Registration Quality Metrics

  • Interpolation Methods for Image Registration

  • Biomedical Examples

  • References

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    Image Storage, Transport, and Compression

    Advanced Biomedical Image Analysis
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    This chapter contains sections titled:

  • Image Archiving, DICOM, and PACS

  • Lossless Image Compression

  • Lossy Image Compression

  • Biomedical Examples

  • References

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    Image Visualization

    Advanced Biomedical Image Analysis
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    This chapter contains sections titled:

  • Gray-Scale Image Visualization

  • Color Representation of Gray-Scale Images

  • Contour Lines

  • Surface Rendering

  • Volume Visualization

  • Interactive Three-Dimensional Rendering and Animation

  • Biomedical Examples

  • References

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    Image Analysis and Visualization Software

    Advanced Biomedical Image Analysis
    Copyright Year: 2011

    Wiley-IEEE Press eBook Chapters

    This chapter contains sections titled:

  • Image Processing Software: An Overview

  • ImageJ

  • Examples of Image Processing Programs

  • Crystal Image

  • OpenDX

  • Wavelet-Related Software

  • Algorithm Implementation

  • References

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    Appendix A: Image Analysis with Crystal Image

    Advanced Biomedical Image Analysis
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    This appendix contains sections titled:

  • Installation

  • Menu Functions

  • Keyboard and Mouse Shortcuts in the Image Window

  • Macros

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    Appendix B: Software on DVD

    Advanced Biomedical Image Analysis
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    Index

    Advanced Biomedical Image Analysis
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    Customer Note: If this Book is Accompanied by Software, please read the following Before Opening the Package

    Advanced Biomedical Image Analysis
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