Difference between revisions of "Documentation/Nightly/Extensions/DensityLungSegmentation"

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Tag: 2017 source edit
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This extension is for labeling lung tissue CT according to intensity.
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This extension is for segmentin lung tissue CT according to intensity.
  
 
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{{documentation/{{documentation/version}}/module-section|Module Description}}
 
{{documentation/{{documentation/version}}/module-section|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).
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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).
  
  
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  1. Load chest CT (COVID-19 CTs can be download from https://www.imagenglab.com/newsite/covid-19/ )
 
  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
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  2. Select/create a segmentation for the result
  3. Select/create a labelmap for the averaged result
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  3. Select/create a segmentation for the averaged result
 
  4. Click Apply button
 
  4. Click Apply button
  

Latest revision as of 13:14, 14 September 2021

Home < Documentation < Nightly < Extensions < DensityLungSegmentation


For the latest Slicer documentation, visit the read-the-docs.


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 segmentin lung tissue CT according to intensity.

Module Description

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).


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 segmentation for the result
3. Select/create a segmentation for the averaged result
4. Click Apply button

Panels and their use

Lung Density Segmentation module UI

Similar Modules

References


Information for Developers

https://github.com/pzaffino/SlicerDensityLungSegmentation