Estimation of Ground-Glass Opacity Measurement in CT Lung Images

Authors:
Yuanjie Zheng;Chandra Kambhamettu;Thomas Bauer;Karl Steiner
Affiliations:
Department of Computer Science, University of Delaware, Newark, USA;Department of Computer Science, University of Delaware, Newark, USA;Helen F. Graham Cancer Center, Christiana Care Health Services, , Newark, USA;Delaware Biotechnology Institute, University of Delaware, Newark, USA
Venue:
MICCAI '08 Proceedings of the 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, Part II
Year:
2008

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Abstract

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.