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Extension for 3D Slicer that labels lung tissue according to density

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pzaffino/SlicerDensityLungSegmentation

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SlicerDensityLungSegmentation

This extension segments lung tissues on basis of density. Voxel-per-voxel segmentation is provided alongside with an averaged version.

The implemented workflow is described in: Zaffino, Paolo, et al. "An Open-Source COVID-19 CT Dataset with Automatic Lung Tissue Classification for Radiomics." Bioengineering 8.2 (2021): 26. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7919807/

The license used is APACHE 2.0.

screenshot

Module description

Lung CT GMM Segmentation

This module, given a chest CT, segment lung tissue by fitting the intensities with a Gaussian Mixture Model already created. It can be used for pneumonia (COVID-19 too).

Tutorial

  1. Load chest CT (COVID-19 CTs can be download from https://www.imagenglab.com/newsite/covid-19/ )
  2. Select Chest CT GMM Segmentation module (in the segmentation menu)
  3. Select/create a segmentation for the result
  4. Select/create a segmentation for the averaged result
  5. Click Apply button

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Extension for 3D Slicer that labels lung tissue according to density

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