Joint reconstruction and material classification in spectral CT

@inproceedings{Babaheidarian2018JointRA,
  title={Joint reconstruction and material classification in spectral CT},
  author={Parisa Babaheidarian and David A. Casta{\~n}{\'o}n},
  booktitle={Defense + Security},
  year={2018}
}
Detecting the presence of hazardous materials in luggage is an important problem in aviation security. The current generation of inspection systems is based on X-ray computed tomography, followed by recognition systems to identify potential prohibited materials. As such, the image formation algorithms are designed independently of the recognition algorithms. In this paper, we present a new class of algorithms for processing the X-ray data by simultaneously forming images from the collected X… 

R 4C . 1 : Advanced Multispectral Computed Tomography ( CT ) Algorithms

Explosives represent a continuing threat to aviation security [1-4]. Multi-energy X-ray computed tomography (CT) attempts to use the additional energy-dependent material information obtained by

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XCOM : Photon Cross Sections Database