- Helps the scientific community in modeling respiratory motion for a large number of people
- Presents a universal baseline that attracts more and more datasets and their results from all over the world
- Serves as a common repository for related research
- Discusses the process of image registration in removing the inconsistencies related to the condition of medical images acquired using different devices
This book focuses on novel approaches for thoracic computed tomography (CT) image registration and determination of respiratory motion models in inter- and intra-patient scenarios.
It discusses the use of image registration processes to remove the inconsistencies related to the condition of medical images acquired using different devices. In the field of comparative research and medical analysis, these methods are of immense value in image registration procedures not just for thoracic CT images, but for all varieties of medical images in multiple modalities, and also in establishing a mean respiration motion model. Used with advanced techniques the proposed methods have the potential to further the field of computer vision and help improve existing methods.
The book is a valuable resource for those in the scientific community involved in modeling respiratory motion for a large number of people.
Table of Contents- Introduction
- Theoretical Background
- A Moving Least Square Based Framework for Thoracic CT Image Registration
- A Path Tracing and Deformity Estimation Methodology for Registration of Thoracic CT Image Sequences
- Deformable Thoracic CT Images Sequence Registration using Strain Energy Minimization
- Conclusion & Future Work
