This third edition provides a concise and generously illustrated survey of the complete field of medical imaging and image computing, explaining the mathematical and physical principles and giving the reader a clear understanding of how images are obtained and interpreted. Medical imaging and image computing are rapidly evolving fields, and this edition has been updated with the latest developments in the field, as well as new images and animations. An introductory chapter on digital image processing is followed by chapters on the imaging modalities: radiography, CT, MRI, nuclear medicine and ultrasound. Each chapter covers the basic physics and interaction with tissue, the image reconstruction process, image quality aspects, modern equipment, clinical applications, and biological effects and safety issues. Subsequent chapters review image computing and visualization for diagnosis and treatment. Engineers, physicists and clinicians at all levels will find this new edition an invaluable aid in understanding the principles of imaging and their clinical applications.Read more
- Provides a complete up-to-date overview of the field of medical imaging
- Principally written for students with a background in physics, mathematics, or engineering, but also suitable for biomedical scientists and medical practitioners
- Contains over three hundred color illustrations and eighty video clips
17th Feb 2018 by Madhumaypal
I have purchased a hard copy of the book. How can I get the two appendices online?
Review was not posted due to profanity×
- Edition: 3rd Edition
- Date Published: May 2017
- format: Hardback
- isbn: 9781107159785
- length: 268 pages
- dimensions: 254 x 194 x 18 mm
- weight: 0.91kg
- contains: 57 b/w illus. 329 colour illus. 8 tables
- availability: Available
Table of Contents
1. Introduction to digital image processing
3. X-ray computed tomography
4. Magnetic resonance imaging
5. Nuclear medicine imaging
6. Ultrasound imaging
7. Medical image computing
8. Visualization for diagnosis and therapy
A. Linear system theory
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