Introduction to the Science of Medical Imaging

This landmark text from world-leading radiologist describes and illustrates how imaging techniques are created, analyzed and applied to biomedical problems.

R. Nick Bryan (Edited by)

9780521747622, Cambridge University Press

Paperback, published 19 November 2009

334 pages, 159 b/w illus. 31 tables
24.6 x 19.1 x 2 cm, 0.91 kg

'This is a most unusual and fascinating book. It blends science, philosophy and practical imaging in a very unusual way … As somebody closely involved in imaging I found it a fascinating read.' European Radiology

Revolutionary advances in imaging technology that provide high resolution, 3-D, non-invasive imaging of biological subjects have made biomedical imaging an essential tool in clinical medicine and biomedical research. Key technological advances include MRI, positron emission tomography (PET) and multidetector X-ray CT scanners. Common to all contemporary imaging modalities is the creation of digital data and pictures. The evolution from analog to digital image data is driving the rapidly expanding field of digital image analysis. Scientists from numerous disciplines now require in-depth knowledge of these complex imaging modalities. Introduction to the Science of Medical Imaging presents scientific imaging principles, introduces the major biomedical imaging modalities, reviews the basics of human and computer image analysis and provides examples of major clinical and research applications. Written by one of the world's most innovative and highly respected neuroradiologists, Introduction to the Science of Medical Imaging is a landmark text on image acquisition and interpretation.

Preface
Part I. Introduction: 1. What is an image?
2. How to make an image
3. How to analyze an image
Part II. Biomedical Images: 4. Nuclear medicine
5. X-ray: non-ionizing radiation
6. Ultrasound
7. Magnetic resonance imaging
8. Optical imaging
Part III. Sample Labeling: 9. Contrast agents
10. Molecular labeling
Part IV. Image Analysis: 11. Human observer
12. Digital image processing
13. Registration and atlas building
14. Statistical atlases
Part V. Biomedical Applications: 15. Morphological imaging
16. Physiological imaging
17. Molecular imaging
Appendices: 1. Linear systems
2. Transforms and k space
3. Probability, Bayesian statistics and information theory
Index.

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