Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: DIRECT-Net: a unified mutual-domain material decomposition network for
  quantitative dual-energy CT imaging   By acquiring two sets of tomographic measurements at distinct X-ray spectra,
the dual-energy CT (DECT) enables quantitative material-specific imaging.
However, the conventionally decomposed material basis images may encounter
severe image noise amplification and artifacts, resulting in degraded image
quality and decreased quantitative accuracy. Iterative DECT image
reconstruction algorithms incorporating either the sinogram or the CT image
prior information have shown potential advantages in noise and artifact
suppression, but with the expense of large computational resource, prolonged
reconstruction time, and tedious manual selections of algorithm parameters. To
partially overcome these limitations, we develop a domain-transformation
enabled end-to-end deep convolutional neural network (DIRECT-Net) to perform
high quality DECT material decomposition. Specifically, the proposed DIRECT-Net
has immediate accesses to mutual-domain data, and utilizes stacked convolution
neural network (CNN) layers for noise reduction and material decomposition. The
training data are numerically simulated based on the underlying physics of DECT
imaging.The XCAT digital phantom, iodine solutions phantom, and biological
specimen are used to validate the performance of DIRECT-Net. The qualitative
and quantitative results demonstrate that this newly developed DIRECT-Net is
promising in suppressing noise, improving image accuracy, and reducing
computation time for future DECT imaging.

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The categories of this paper are: cond-mat
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The categories of this paper are: alg-geom
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The categories of this paper are: econ
0
The categories of this paper are: hep-ph
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The categories of this paper are: nlin
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The categories of this paper are: gr-qc
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The categories of this paper are: hep-th
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The categories of this paper are: comp-gas
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The categories of this paper are: chao-dyn
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The categories of this paper are: q-bio
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The categories of this paper are: chem-ph
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The categories of this paper are: hep-lat
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The categories of this paper are: math-ph
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The categories of this paper are: patt-sol
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The categories of this paper are: acc-phys
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The categories of this paper are: q-alg