Hyperspectral Neutron Imaging and Tomographic Reconstruction - Challenges and Methods
IEEE Signal Processing Society via YouTube
Overview
Syllabus
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
Taught by
IEEE Signal Processing Society