Thoracic CT PET Registration Using a 3D Breathing Model 1st Edition by Antonio Moreno, Sylvie Chambon, Anand P Santhanam, Roberta Brocardo, Patrick Kupelian, Jannick P Rolland, Elsa Angelini, Isabelle Bloch ISBN 9783540757573

Thoracic CT PET Registration Using a 3D Breathing Model 1st Edition by Antonio Moreno, Sylvie Chambon, Anand P Santhanam, Roberta Brocardo, Patrick Kupelian, Jannick P Rolland, Elsa Angelini, Isabelle Bloch – Ebook PDF Instant Download/Delivery. 
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ISBN 10: 
ISBN 13: 9783540757573
Author: Antonio Moreno, Sylvie Chambon, Anand P Santhanam, Roberta Brocardo, Patrick Kupelian, Jannick P Rolland, Elsa Angelini, Isabelle Bloch

In the context of thoracic CT-PET volume registration, we present a novel method to incorporate a breathing model in a non-linear registration procedure, guaranteeing physiologically plausible deformations. The approach also accounts for the rigid motions of lung tumors during breathing. We performed a set of registration experiments on one healthy and four pathological data sets. Initial results demonstrate the interest of this method to significantly improve the accuracy of multi-modal volume registration for diagnosis and radiotherapy applications.

Thoracic CT PET Registration Using a 3D Breathing Model 1st Table of contents:

• Introduction

  • 1.1 Background and Motivation
  • 1.2 Importance of CT-PET Registration in Thoracic Imaging
  • 1.3 Overview of the 3D Breathing Model Approach

• Literature Review

  • 2.1 Current Methods for CT-PET Registration
  • 2.2 Challenges in Thoracic Imaging
  • 2.3 Breathing Models in Medical Imaging

• Methodology

  • 3.1 Overview of the Registration Process
  • 3.2 Description of the 3D Breathing Model
  • 3.3 Data Acquisition and Preprocessing
  • 3.4 Registration Algorithm
    • 3.4.1 Image Preprocessing and Alignment
    • 3.4.2 Breathing Model Integration
  • 3.5 Validation and Evaluation Techniques

• Implementation

  • 4.1 Software Tools and Frameworks
  • 4.2 Hardware Setup and Data Collection
  • 4.3 Practical Steps in Model Application
  • 4.4 Case Study: Thoracic CT-PET Image Registration

• Results and Discussion

  • 5.1 Evaluation Metrics and Performance
  • 5.2 Accuracy of Registration
  • 5.3 Comparison with Other Registration Methods
  • 5.4 Limitations of the Current Model
  • 5.5 Future Improvements and Research Directions

• Conclusion

  • 6.1 Summary of Findings
  • 6.2 Implications for Clinical Practice
  • 6.3 Final Remarks

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