Medical Image Registration

Image registration is the process of systematically placing separate images in a common frame of reference so that the information they contain can be optimally integrated or compared. This is becoming the central tool for image analysis, understanding, and visualization in both medical and scientific applications. Medical Image Registration provides the first comprehensive coverage of this emerging field.

This monograph details the theory, technology, and practical implementations in a variety of medical settings. International experts thoroughly explain why image registration is important, describe its applications in a nonmathematical way, and include rigorous analysis for those who plan to implement algorithms themselves. It is accessible and informative to those new to the field, yet it provides in-depth treatment for the expert. With its practical examples, extensive illustrations, and comprehensible approach, Medical Image Registration is a must have guide for medical physicists, clinicians, and researchers.

Table of Contents

Chapter 1. Introduction

Chapter 2. Registration Methodology: Introduction

Chapter 3. Registration Methodology: Concepts and Algorithms

Chapter 4. Preparation and Display of Image Data

Chapter 5. Correcting for Scanner Errors in CT, MRI, Spect, and 3D Ultrasound

Chapter 6. Detecting Failure, Assessing Success

Chapter 7. Registration and Subtraction of Serial Magnetic Resonance Images of the Brain: Image Interpretation and Clinical Applications

Chapter 8. The Role of Registration in Functional Magnetic Resonance Imaging

Chapter 9. Registration of MRI and PET Images for Clinical Applications

Chapter 10. Registration of MR and CT Images for Clinical Applications

Chapter 11. Image Registration in Nuclear Medicine

Chapter 12. Guiding Therapeutic Procedures

Chapter 13. Nonrigid Registration: Concepts, Algorithms, and Applications

Chapter 14. Use of Registration for Cohort Studies

Chapter 15. Bio mechanical Modeling for Image Registration: Applications in Image Guided Neurosurgery

Chapter 16. View of the Future