Documents
Presentation Slides
Hyperspectral Neutron CT With Material Decomposition
![](https://sigport.org/sites/default/files/styles/home/public/ICIP_2021_2_0.jpg?itok=zYJYomnf)
- Citation Author(s):
- Submitted by:
- Thilo Balke
- Last updated:
- 28 September 2021 - 3:10pm
- Document Type:
- Presentation Slides
- Document Year:
- 2021
- Event:
- Presenters:
- Thilo Balke
- Paper Code:
- 3260
- Categories:
- Keywords:
- Log in to post comments
Energy resolved neutron imaging (ERNI) is an advanced neutron radiography technique capable of non-destructively extracting spatial isotopic information within a given material. Energy-dependent radiography image sequences can be created by utilizing neutron time-of-flight techniques. In combination with uniquely characteristic isotopic neutron crosssection spectra, isotopic areal densities can be determined on a per-pixel basis, thus resulting in a set of areal density images for each isotope present in the sample. By preforming ERNI measurements over several rotational views, an isotope decomposed 3D computed tomograpy is possible. We demonstrate a method involving a robust and automated background estimation based on a linear programming formulation. The extremely high noise due to low count measurements is overcome using a sparse coding approach. It allows for a significant computation time improvement, from weeks to a few hours compared to existing neutron evaluation tools, enabling at the present stage a semi-quantitative, user-friendly routine application.