A Practical Approach to Medical Image Processing

A Practical Approach to Medical Image Processing

  • Electronic book text
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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.show more

Product details

  • Electronic book text | 304 pages
  • Taylor & Francis Inc
  • CRC Press Inc
  • Florida, United States
  • 10 equations; 200 Halftones, black and white; 4 Tables, black and white; 9 Illustrations, color; 229 Illustrations, black and white
  • 1584888253
  • 9781584888253

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.show more