
High Performance Deformable Image Registration Algorithms for Manycore Processors
Description
Key Features
- Demonstrates how to redesign widely used image registration algorithms so as to best expose the underlying parallelism available in these algorithms
- Shows how to pose and implement the parallel versions of the algorithms within the single instruction, multiple data (SIMD) model supported by GPUs
- Provides Programming "tricks" that can help readers develop other image processing algorithms, including registration algorithms for the GPU
Readership
Developers of image registration algorithms and software, including graduate students, researchers (post-doctoral researchers, research scientists, professionals working in the areas of computer vision, image processing, and medical imaging
Table of Contents
Biographies
Chapter 1. Introduction
Information in This Chapter:
1.1 Introduction
1.2 Applications of Deformable Image Registration
1.3 Algorithmic Approaches to Deformable Registration
1.4 Organization of Chapters
References
Chapter 2. Unimodal B-Spline Registration
Information in This Chapter:
2.1 Introduction
2.2 Overview of B-Spline Registration
2.3 B-Spline Registration on the GPU
2.4 Performance Evaluation
2.5 Summary
References
Chapter 3. Multimodal B-Spline Registration
Information in This Chapter
3.1 Introduction
3.2 Using B-Splines to Represent the Deformation Field
3.3 MI as A Cost Function
3.4 Efficient Computation of MI
3.5 Performance Evaluation
3.6 Related Work
3.7 Summary
References
Chapter 4. Analytic Vector Field Regularization for B-spline Parameterized Methods
Information in This Chapter:
4.1 Introduction
4.2 Theory and Mathematical Formalism
4.3 Algorithmic Implementation
4.4 Performance Evaluation
4.5 Summary
References
Chapter 5. Deformable Registration Using Optical-Flow Methods
Information in This Chapter:
5.1 Introduction
5.2 Demons Algorithm for Deformable Registration
5.3 SIMD Version of Demons Algorithm
5.4 Performance Evaluation
5.5 Summary
References
Chapter 6. Plastimatch—An Open-Source Software for Radiotherapy Imaging
Information in This Chapter:
6.1 Introduction
6.2 Overview of Plastimatch
6.3 Licensing
References
Product details
- No. of pages: 122
- Language: English
- Copyright: © Morgan Kaufmann 2013
- Published: June 28, 2013
- Imprint: Morgan Kaufmann
- eBook ISBN: 9780124078802
- Paperback ISBN: 9780124077416
About the Authors
James Shackleford
Affiliations and Expertise
Nagarajan Kandasamy
Affiliations and Expertise
Gregory Sharp
Affiliations and Expertise
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