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1
Introduction
2
Computer tomography
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Electron microscopes
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Xray CT
5
Neutron CT
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Challenges
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Methods
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Outline
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Why neutron CT
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Hyperspectral neutron imaging
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Chemical mapping
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A singlevoxel
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Time consuming measurements
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Tomographic reconstruction
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Robust modelbased iterative reconstruction
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Crystalline material reconstruction
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Grain flicker
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Filtered back projection
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Improved acquisition
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Laminography
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Modelbased approaches
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CryoEM
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Forward model
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Ground truth
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Cone beam CT
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Summary
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When is it useful
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Sequential data sets
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Broad neural networks
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Experimental results
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Approach
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Preliminary Results
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Real Data
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Note of Caution
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Summary of Work
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Reconstruction Quality
Description:
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. Read more

Hyperspectral Neutron Imaging and Tomographic Reconstruction - Challenges and Methods

IEEE Signal Processing Society
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