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

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Tag: 2017 source edit
Tag: 2017 source edit
Line 37: Line 37:
  
 
* Lung Density Segmentation
 
* Lung Density Segmentation
  1. Load chest CT
+
 +
  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
 
  2. Select/create a labelmap for the result
 
  3. Select/create a labelmap for the averaged result
 
  3. Select/create a labelmap for the averaged result

Revision as of 13:14, 10 September 2021

Home < Documentation < Nightly < Extensions < DensityLungSegmentation


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


Introduction and Acknowledgements

Extension: LungDensitySegmentation
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 Density Segmentation: This module, given a chest CT, labels lung tissue according to intensity. It can be used for pneumonia (COVID-19 too).


Use Cases

  • Lung Density Segmentation

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

Lung Density Segmentation module

Tutorials

  • Lung Density 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

Similar Modules

References


Information for Developers

https://github.com/pzaffino/SlicerLungDensitySegmentation