Digital Image Processing for Medical Applications

Hands-on text for a first course aimed at end-users, focusing on concepts, practical issues and problem solving.

Geoff Dougherty (Author)

9780521860857, Cambridge University Press

Hardback, published 9 April 2009

459 pages, 372 b/w illus. 13 colour illus. 17 tables 130 exercises
25.4 x 17.9 x 2.7 cm, 1.12 kg

'Digital Image Processing for Medical Applications is an excellent textbook. It covers useful contents in image processing for biomedical engineering.' Guiren Wang, University of South Carolina

Image processing is a hands-on discipline, and the best way to learn is by doing. This text takes its motivation from medical applications and uses real medical images and situations to illustrate and clarify concepts and to build intuition, insight and understanding. Designed for advanced undergraduates and graduate students who will become end-users of digital image processing, it covers the basics of the major clinical imaging modalities, explaining how the images are produced and acquired. It then presents the standard image processing operations, focusing on practical issues and problem solving. Crucially, the book explains when and why particular operations are done, and practical computer-based activities show how these operations affect real images. All images, links to the public-domain software ImageJ and custom plug-ins, and selected solutions are available from www.cambridge.org/books/dougherty.

Preface
1. Introduction
2. Imaging systems
3. Medical images obtained with ionizing radiation
4. Medical images obtained with non-ionizing radiation
5. Fundamentals of digital image processing
6. Image enhancement in the spatial domain
7. Image enhancement in the frequency domain
8. Image restoration
9. Morphological image processing
10. Image segmentation
11. Feature recognition and classification
12. Three-dimensional visualization
13. Medical applications of imaging
14. Frontiers of image processing in medicine
Appendix A. The Fourier Series and Fourier Transform
Appendix B. Set theory and probability
Appendix C. Shape and texture
Bibliography
Index.

Subject Areas: Image processing [UYT], Biomedical engineering [MQW], Medical imaging [MMP]