Join a webinar featuring Professor Yoram Bresler from the University of Illinois at Urbana-Champaign as he delves into the world of X-ray Computed Tomography (CT) and scatter correction techniques. Explore conventional CT methods and software-based approaches for scatter modeling and estimation. Discover new features in CT imaging, including line integral projections and neural network applications. Examine the results of these techniques in both 3D and cone beam scenarios. Gain insights into model perturbations, worst-case scenarios, and training schematics. Analyze quantitative results, focusing on small structure and detail errors. Conclude with key takeaways, a discussion on the minimax problem, and the generalizability of the presented methods. This comprehensive webinar offers a deep dive into cutting-edge CT imaging techniques and their practical applications.
Overview
Syllabus
Introduction
Outline
Xray CT
Xray Scatter
Conventional CT
Scatter
Softwarebased methods
Scatter modeling
Scatter estimation
New features
Line integral projections
Filter H
Neural Network
Training Network
Results
Results in 3D
Results in Con Beam
Conclusion
Model perturbations
Worst case perturbations
Training schematic
Quantitative results
Small structure error
Small detail error
Take home
In conclusion
Minimax problem
Generalizability
Taught by
IEEE Signal Processing Society
