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

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Extension: [[Documentation/{{documentation/version}}/Extensions/LungDensitySegmentation|LungDensitySegmentation]]<br>
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Extension: [[Documentation/{{documentation/version}}/Extensions/DensityLungSegmentation|DensityLungSegmentation]]<br>
 
Author: Paolo Zaffino, Magna Graecia Univeristy of Catanzaro - Italy<br>
 
Author: Paolo Zaffino, Magna Graecia Univeristy of Catanzaro - Italy<br>
 
Contributor1: Maria Francesca Spadea, Magna Graecia Univeristy of Catanzaro - Italy<br>
 
Contributor1: Maria Francesca Spadea, Magna Graecia Univeristy of Catanzaro - Italy<br>
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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 Density Segmentation: This module, given a chest CT, labels lung tissue according to intensity. 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).
  
  
 
<!-- ---------------------------- -->{{documentation/{{documentation/version}}/module-section|Use Cases}}
 
<!-- ---------------------------- -->{{documentation/{{documentation/version}}/module-section|Use Cases}}
  
* Lung Density Segmentation
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* Lung CT GMM Segmentation
User wants to segmente lung tissue according to intensity (healthy, ground-glass opacities, and consolidation).
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User wants to segment lung tissue according to intensity (healthy, ground-glass opacities, and consolidation).
  
 
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{{documentation/{{documentation/version}}/module-section|Tutorials}}
 
{{documentation/{{documentation/version}}/module-section|Tutorials}}
  
* Lung Density Segmentation
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* Lung CT GMM Segmentation
  1. Load chest CT
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  2. Select/create a labelmap for the result
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  1. Load chest CT (COVID-19 CTs can be download from https://www.imagenglab.com/newsite/covid-19/ )
  3. Select/create a labelmap for the averaged result
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  2. Select/create a segmentation for the result
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  3. Select/create a segmentation for the averaged result
 
  4. Click Apply button
 
  4. Click Apply button
  
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{|
 
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|[[Image:SlicerSyntheticCTEvaluation_panel.png|thumb|280px|Synthetic CT Evaluation module UI]]
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|[[Image:LungDensitySegmentation_UI.png|thumb|280px|Lung Density Segmentation module UI]]
 
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{{documentation/{{documentation/version}}/module-section|References}}
 
{{documentation/{{documentation/version}}/module-section|References}}
  
* Zaffino, Paolo, et al. "An Open-Source COVID-19 CT Dataset with Automatic Lung Tissue Classification for Radiomics." Bioengineering 8.2 (2021): 26.
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* 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/
  
  
 
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{{documentation/{{documentation/version}}/module-section|Information for Developers}}
 
{{documentation/{{documentation/version}}/module-section|Information for Developers}}
https://github.com/pzaffino/SlicerLungDensitySegmentation
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https://github.com/pzaffino/SlicerDensityLungSegmentation
 
{{documentation/{{documentation/version}}/module-developerinfo}}
 
{{documentation/{{documentation/version}}/module-developerinfo}}
  

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