A Practical Approach to Medical Image Processing: 1st Edition (Hardback) book cover

A Practical Approach to Medical Image Processing

1st Edition

By Elizabeth Berry

CRC Press

304 pages | 9 Color Illus. | 229 B/W Illus.

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pub: 2007-12-07
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Description

The ability to manipulate and analyze pictorial information to improve medical diagnosis, monitoring, and therapy via imaging is a valuable tool that every professional working in radiography, medical imaging, and medical physics should utilize. However, previous texts on the subject have only approached the subject from a programming or computer science viewpoint at a mathematically inaccessible level. Unlike these previous publications, A Practical Approach to Medical Imaging Processing provides hands-on instruction, using the freely available software program ImageJ, on all of the skills needed to perform filtering and image enhancement techniques used in structured image discrimination.

In this unique text, the author focuses exclusively on image processing and treats medical images in a generic way to highlight the features that all digital images have in common. The book first introduces the main topics in image processing and as it progresses, you will discover relevant points of good practice. The author validates each technique with a corresponding case study, which originates from a published journal article. The case studies demonstrate how the concepts of image processing are applied to real-life situations, such as how to uncover information suffering from distortion and pixel-size limitations. The accompanying CD-ROM contains the Windows version of the ImageJ software, digital images, and documents to be used during the practical activities included in each chapter.

With its highly functional workbook approach, A Practical Approach to Medical Image Processing allows you to build your skills in image manipulation and to enjoy the benefits of this valuable field without having to code or develop your own program.

Reviews

A Practical Approach to Medical Image Processing provides hands-on instructionin the skills needed to perform the filtering and image enhancement techniques used in structured image discrimination. Case studies demonstrate how image-processing concepts are applied in real-life situations, such as how to uncover information from images with distortion and pixel-size limitations. Topics addressed include image segmentation, compression, restoration, and visualization. A companion CD-ROM contains the Windows version of ImageJ software, digital images, and documents to be used with the practical work included in each chapter.”

Biophotonics International, December 2007

Practical Approach to Medical Image Processing is destined to become an image analysis standard for the medical imaging professional as well as for anyone involved in research aspects of imaging applications in medical and biological discipline. The detailed instructions for expanding the software to fit the user's particular needs are a valuable resource that cannot be underestimated.”

— Robert Splinter, Analytica Sciences Inc., author of An Introduction to Biomedical Optics

Table of Contents

IMAGE PROCESSING BASICS

Definition of Image Processing

Introduction to ImageJ

Grayscale Image Processing Basics

Spatial Image Processing Basics

The Five Classes of Image Processing

SEGMENTATION AND CLASSIFICATION

Segmentation

Classification

SPATIAL DOMAIN FILTERING

Spatial Filtering Operations

Adaptive Filtering

FREQUENCY DOMAIN FILTERING

The Spatial Domain and the Frequency Domain

Frequency Domain Filtering

IMAGE ANALYSIS OPERATIONS

Image Arithmetic

Binary Image Operations

 

IMAGE DATA FORMATS AND IMAGE COMPRESSION

Image Data Formats

Image Compression

IMAGE RESTORATION

Blurring Arising from the Imaging System Itself

Geometrical Distortion

Gray-Level In homogeneity

IMAGE REGISTRATION

Image Registration

Dimensionality and Number of Modalities

Visualization of Registered Images

Applications

VISUALIZATION AND -D METHODS

Taxonomy for Visualization

Scene-Based Visualization

Object-Based Visualization

Other Visualization Methods

Good Practice Considerations

 

GOOD PRACTICE

Scientific Rigor

Ethical Practice

Human Factors

Information Technology

CASE STUDIES

Image Enhancement

Segmentation

Image Compression

Image Registration

Visualization

 

FOR INSTRUCTORS

Writing Macros and Plug-in for ImageJ

Article-Based Case Studies

Extensions to Material in Preceding Chapters

Publicly Available Data

 

Index

Each chapter includes Feedback on Self-Assessment Questions, References, Good Practice Considerations, and a Summary.

About the Author/Editor

Elizabeth Berry

About the Series

Series in Medical Physics and Biomedical Engineering

Learn more…

Subject Categories

BISAC Subject Codes/Headings:
SCI055000
SCIENCE / Physics
TEC015000
TECHNOLOGY & ENGINEERING / Imaging Systems
TEC059000
TECHNOLOGY & ENGINEERING / Biomedical