Adaptive noise correction of dual-energy computed tomography images

@article{Maia2015AdaptiveNC,
  title={Adaptive noise correction of dual-energy computed tomography images},
  author={Rafael Simon Maia and Christian Jacob and Amy K. Hara and Alvin C. Silva and William Pavlicek and Joseph Ross Mitchell},
  journal={International Journal of Computer Assisted Radiology and Surgery},
  year={2015},
  volume={11},
  pages={667-678}
}
Noise reduction in material density images is a necessary preprocessing step for the correct interpretation of dual-energy computed tomography (DECT) images. In this paper we describe a new method based on a local adaptive processing to reduce noise in DECT images An adaptive neighborhood Wiener (ANW) filter was implemented and customized to use local characteristics of material density images. The ANW filter employs a three-level wavelet approach, combined with the application of an… CONTINUE READING
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References

Publications referenced by this paper.
SHOWING 1-10 OF 18 REFERENCES

An algorithm for noise correction of dual - energy computed tomography material density images

KK Park, W Pavlicek, +3 authors M Akay
  • Int J Comput Assist Radiol Surg
  • 2015

Image enhancement by spectral-error correction for dual-energy computed tomography

  • 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
  • 2011

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