Documentation/Nightly/Extensions/DensityLungSegmentation

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Introduction and Acknowledgements

Extension: DensityLungSegmentation Author: Paolo Zaffino, Magna Graecia Univeristy of Catanzaro - Italy Contributor1: Maria Francesca Spadea, Magna Graecia Univeristy of Catanzaro - Italy Contact: Paolo Zaffino, <email>p.zaffino@unicz.it</email>

This extension is for labeling lung tissue CT according to intensity.

Module Description

• Lung CT GMM Segmentation: This module, given a chest CT, labels lung tissue by fitting the intensities with a Gaussian Mixture Model already available. It can be used for pneumonia (COVID-19 too).

Use Cases

• Lung CT GMM Segmentation

User wants to segment lung tissue according to intensity (healthy, ground-glass opacities, and consolidation).

Lung Density Segmentation module

Tutorials

• Lung CT GMM Segmentation

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

Panels and their use

Lung Density Segmentation module UI

References

• 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/

Information for Developers

https://github.com/pzaffino/SlicerDensityLungSegmentation