3D 2D Image Registration The Impact of X Ray Views and Their Number 1st Edition by Dejan Tomazevic, Bostjan Likar, Franjo Pernus ISBN 9783540757573

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ISBN 10: 
ISBN 13: 9783540757573
Author: Dejan Tomazevic, Bostjan Likar, Franjo Pernus

An important part of image-guided radiation therapy or surgery is registration of a three-dimensional (3D) preoperative image to two-dimensional (2D) images of the patient. It is expected that the accuracy and robustness of a 3D/2D image registration method do not depend solely on the registration method itself but also on the number and projections (views) of intraoperative images. In this study, we systematically investigate these factors by using registered image data, comprising of CT and X-ray images of a cadaveric lumbar spine phantom and the recently proposed 3D/2D registration method [1], [2]. The results indicate that the proportion of successful registrations (robustness) significantly increases when more X-ray images are used for registration.

3D/2D Image Registration: The Impact of X-Ray Views and Their Number 1st Table of contents:

• Introduction
  1.1 Motivation and Background
  1.2 Problem Statement and Objectives
  1.3 Key Contributions
  1.4 Organization of the Paper

• Preliminaries
  2.1 Image Registration: Definitions and Concepts
  2.2 3D/2D Registration Techniques
  2.3 X-Ray Imaging: Overview and Applications
  2.4 Previous Work on X-Ray-Based Image Registration

• 3D/2D Image Registration
  3.1 Basic Framework for 3D/2D Registration
  3.2 Geometrical and Mathematical Foundations
  3.3 Types of Registration: Rigid vs. Non-Rigid
  3.4 Challenges in 3D/2D Registration

• Impact of X-Ray Views on Registration
  4.1 Role of X-Ray Views in Image Registration
  4.2 Geometrical Considerations: Viewpoints and Angles
  4.3 Effects of View Selection on Registration Accuracy
  4.4 Trade-offs Between View Complexity and Accuracy

• Effect of the Number of X-Ray Views
  5.1 How the Number of Views Affects Registration Performance
  5.2 Optimal Number of Views for Accurate Registration
  5.3 Computational Efficiency vs. Accuracy
  5.4 Empirical Analysis of View Count and Performance

• Methods for Improving 3D/2D Registration with X-Ray Views
  6.1 Advanced Algorithms for Multi-View Registration
  6.2 Integration of Prior Information and Constraints
  6.3 Dealing with Noise and Distortions in X-Ray Images
  6.4 Hybrid Approaches for Enhanced Registration

• Experimental Results
  7.1 Experimental Setup and Evaluation Metrics
  7.2 Impact of Different Numbers of Views on Accuracy
  7.3 Comparative Study of Methods with Varying View Counts
  7.4 Quantitative and Qualitative Results

• Discussion
  8.1 Insights from the Results
  8.2 Limitations and Challenges in Current Approaches
  8.3 Open Problems and Potential Improvements
  8.4 Future Directions for 3D/2D X-Ray Registration

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