304 pages | 9 Color Illus. | 229 B/W Illus.
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.
“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
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
SPATIAL DOMAIN FILTERING
Spatial Filtering Operations
FREQUENCY DOMAIN FILTERING
The Spatial Domain and the Frequency Domain
Frequency Domain Filtering
IMAGE ANALYSIS OPERATIONS
Binary Image Operations
IMAGE DATA FORMATS AND IMAGE COMPRESSION
Image Data Formats
Blurring Arising from the Imaging System Itself
Gray-Level In homogeneity
Dimensionality and Number of Modalities
Visualization of Registered Images
VISUALIZATION AND -D METHODS
Taxonomy for Visualization
Other Visualization Methods
Good Practice Considerations
Writing Macros and Plug-in for ImageJ
Article-Based Case Studies
Extensions to Material in Preceding Chapters
Publicly Available Data
Each chapter includes Feedback on Self-Assessment Questions, References, Good Practice Considerations, and a Summary.