Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Splitting-Based Iterative Algorithm for GPU-Accelerated Statistical
  Dual-Energy X-Ray CT Reconstruction   When dealing with material classification in baggage at airports, Dual-Energy
Computed Tomography (DECT) allows characterization of any given material with
coefficients based on two attenuative effects: Compton scattering and
photoelectric absorption. However, straightforward projection-domain
decomposition methods for this characterization often yield poor
reconstructions due to the high dynamic range of material properties
encountered in an actual luggage scan. Hence, for better reconstruction quality
under a timing constraint, we propose a splitting-based, GPU-accelerated,
statistical DECT reconstruction algorithm. Compared to prior art, our main
contribution lies in the significant acceleration made possible by separating
reconstruction and decomposition within an ADMM framework. Experimental
results, on both synthetic and real-world baggage phantoms, demonstrate a
significant reduction in time required for convergence.

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The categories of this paper are: alg-geom
16
The categories of this paper are: stat
22
The categories of this paper are: chao-dyn
20
The categories of this paper are: acc-phys
34
The categories of this paper are: chem-ph
31
The categories of this paper are: ao-sci
3
The categories of this paper are: physics
13
The categories of this paper are: quant-ph
11
The categories of this paper are: hep-lat
36
The categories of this paper are: cmp-lg
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The categories of this paper are: comp-gas
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The categories of this paper are: math-ph
6
The categories of this paper are: astro-ph
9
The categories of this paper are: nlin
30
The categories of this paper are: q-alg
0
The categories of this paper are: hep-ph