Hyperspectral Neutron Imaging and Tomographic Reconstruction - Challenges and Methods

Join a webinar featuring Dr. Singanallur Venkatakrishnan from Oak Ridge National Laboratory (ORNL) as he delves into advanced imaging techniques and reconstruction methods in computer tomography. Explore various CT modalities, including electron microscopy, X-ray CT, and neutron CT, with a focus on hyperspectral neutron imaging and chemical mapping. Learn about the challenges in tomographic reconstruction and discover innovative approaches such as robust model-based iterative reconstruction and improved acquisition techniques like laminography. Gain insights into cutting-edge applications in crystalline material reconstruction, cryo-EM, and cone beam CT. Examine experimental results, discuss the potential of broad neural networks, and understand when these methods are most effective for sequential data sets. This comprehensive webinar covers the latest advancements in CT imaging and reconstruction, providing valuable knowledge for researchers and professionals in the field of signal processing and imaging technologies.

Introduction
Computer tomography
Electron microscopes
Xray CT
Neutron CT
Challenges
Methods
Outline
Why neutron CT
Hyperspectral neutron imaging
Chemical mapping
A singlevoxel
Time consuming measurements
Tomographic reconstruction
Robust modelbased iterative reconstruction
Crystalline material reconstruction
Grain flicker
Filtered back projection
Improved acquisition
Laminography
Modelbased approaches
CryoEM
Forward model
Ground truth
Cone beam CT
Summary
When is it useful
Sequential data sets
Broad neural networks
Experimental results
Approach
Preliminary Results
Real Data
Note of Caution
Summary of Work
Reconstruction Quality