This well-illustrated and comprehensive text provides an introduction to the theoretical, practical, and numerical aspects of image registration, with special emphasis on medical imaging. Various techniques are described, discussed and compared using numerous illustrations. It discusses the basic mathematical principles, including aspects from `pproximation theory, image processing, numerics, partial differential equations, and statistics, with a strong focus on numerical methods.
Based on the author's lecture notes and research, this well-illustrated and comprehensive text is one of the first to provide an introduction to image registration with particular emphasis on numerical methods in medical imaging. Ideal for researchers in industry and academia, it is also a suitable study guide for graduate mathematicians, computer scientists, engineers, medical physicists and radiologists. Providing a systematic and general framework for image registration, the book not only presents state-of-the-art concepts but also summarizes and classifies the numerous techniques to be found in the literature.
Inhaltsverzeichnis
- 1: Introduction
- 2: The Human Neuroscanning Project
- 3: The mathematical setting
- I PARAMETRIC IMAGE REGISTRATION
- 4: Landmark based registration
- 5: Principal axes based registration
- 6: Optimal linear registration
- 7: Summarizing parametric image registration
- II NON-PARAMETRIC IMAGE REGISTRATION
- 8: Non-parametric image registration
- 9: Elastic registration
- 10: Fluid registration
- 11: Diffusion registration
- 12: Curvature registration
- 13: Concluding remarks