Estimation of Ground-Glass Opacity Measurement in CT Lung Images

  • Yuanjie Zheng
  • Chandra Kambhamettu
  • Thomas Bauer
  • Karl Steiner
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5242)


We propose to measure quantitatively the opacity property of each pixel in a ground-glass opacity tumor from CT images. Our method results in an opacity map in which each pixel takes opacity value of \([0\textrm{-}1]\). Given a CT image, our method accomplishes the estimation by constructing a graph Laplacian matrix and solving a linear equations system, with assistance from some manually drawn scribbles for which the opacity values are easy to determine manually. Our method resists noise and is capable of eliminating the negative influence of vessels and other lung parenchyma. Experiments on 40 selected CT slices of 11 patients demonstrate the effectiveness of this technique. The opacity map produced by our method is invaluable in practice. From this map, many features can be extracted to describe the spatial distribution pattern of opacity and used in a computer-aided diagnosis system.


Lung Parenchyma Solid Nodule Compute Tomography Attenuation Linear Equation System Compute Tomography Lung 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Yuanjie Zheng
    • 1
  • Chandra Kambhamettu
    • 1
  • Thomas Bauer
    • 2
  • Karl Steiner
    • 3
  1. 1.Department of Computer ScienceUniversity of DelawareNewarkUSA
  2. 2.Helen F. Graham Cancer Center, Christiana Care Health ServicesNewarkUSA
  3. 3.Delaware Biotechnology InstituteUniversity of DelawareNewarkUSA

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