Speaker
Dr
Nick Polydorides
(University of Edinburgh)
Description
We propose a framework for nuclear element detection, using spectral X-ray CT, that utilises discrete tomography and machine learning algorithms to detect the inclusion of targeted materials within a sample. Assuming knowledge of a nominal list of materials and spectral CT data from a small number of angles, the proposed method proceeds to image and classify the materials using their known attenuation properties, and effectively quantifies the probability that an element of interest is present in the target. Numerical experiments showcase the performance of the framework.
Primary authors
Dr
Nick Polydorides
(University of Edinburgh)
Dr
Dimitris Kamilis
(University of Edinburgh)
