Texture-based segmentation and analysis of emphysema depicted on CT images

Jun Tan, Bin Zheng, Xingwei Wang, Dror Lederman, Jiantao Pu, Frank C. Sciurb, David Gur, J. Ken Leader

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

In this study we present a texture-based method of emphysema segmentation depicted on CT examination consisting of two steps. Step 1, a fractal dimension based texture feature extraction is used to initially detect base regions of emphysema. A threshold is applied to the texture result image to obtain initial base regions. Step 2, the base regions are evaluated pixel-by-pixel using a method that considers the variance change incurred by adding a pixel to the base in an effort to refine the boundary of the base regions. Visual inspection revealed a reasonable segmentation of the emphysema regions. There was a strong correlation between lung function (FEV1%, FEV1/FVC, and DLCO%) and fraction of emphysema computed using the texture based method, which were -0.433, -.629, and -0.527, respectively. The texture-based method produced more homogeneous emphysematous regions compared to simple thresholding, especially for large bulla, which can appear as speckled regions in the threshold approach. In the texture-based method, single isolated pixels may be considered as emphysema only if neighboring pixels meet certain criteria, which support the idea that single isolated pixels may not be sufficient evidence that emphysema is present. One of the strength of our complex texture-based approach to emphysema segmentation is that it goes beyond existing approaches that typically extract a single or groups texture features and individually analyze the features. We focus on first identifying potential regions of emphysema and then refining the boundary of the detected regions based on texture patterns.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2011
Subtitle of host publicationBiomedical Applications in Molecular, Structural, and Functional Imaging
DOIs
StatePublished - May 16 2011
EventMedical Imaging 2011: Biomedical Applications in Molecular, Structural, and Functional Imaging - Lake Buena Vista, FL, United States
Duration: Feb 13 2011Feb 16 2011

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume7965
ISSN (Print)1605-7422

Other

OtherMedical Imaging 2011: Biomedical Applications in Molecular, Structural, and Functional Imaging
CountryUnited States
CityLake Buena Vista, FL
Period2/13/112/16/11

Keywords

  • Emphysema segmentation
  • Fractal dimension
  • HRCT
  • Lung cancer
  • Texture
  • Variance

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging

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  • Cite this

    Tan, J., Zheng, B., Wang, X., Lederman, D., Pu, J., Sciurb, F. C., Gur, D., & Leader, J. K. (2011). Texture-based segmentation and analysis of emphysema depicted on CT images. In Medical Imaging 2011: Biomedical Applications in Molecular, Structural, and Functional Imaging [79651V] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 7965). https://doi.org/10.1117/12.878279