Difference between revisions of "Documentation/Nightly/Modules/AirwaySegmentation"

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Extension: [[Documentation/{{documentation/version}}/Extensions/AirwaySegmentation|AirwaySegmentation]]<br>
 
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Acknowledgments:
This work is part of the National Alliance for Medical Image Computing (NAMIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research, Grant U54 EB005149.<br>
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This work is supported by NA-MIC, the Slicer Community and University College of Cork.<br>
 
Author: Pietro Nardelli (University College Cork)<br>
 
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Revision as of 13:43, 21 June 2013

Home < Documentation < Nightly < Modules < AirwaySegmentation


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Introduction and Acknowledgements

Extension: AirwaySegmentation
Acknowledgments: This work is supported by NA-MIC, the Slicer Community and University College of Cork.
Author: Pietro Nardelli (University College Cork)
Contributor1:
Contact: Pietro Nardelli, <email>111126418@umail.ucc.ie</email>

Kitware, Inc.  
National Alliance for Medical Image Computing (NA-MIC)  

Module Description

AirwaySegmentation is a simple CLI module for the segmentation of the airway starting from chest CT images. This CLI uses a modified version of ITK's itkConnectedThresholdImageFilter to segment all the pixels with an intensity below a threshold. The threshold is automatically identified by the module. The user has to specify three fiducial points: one in the trachea, and two in the main bronchi of the left and right lungs. The fiducials are the starting points for the region growing segmentation. No more than 3 seed points are allowed.

Use Cases

  • Airway Segmentation starting from chest CT datasets

Tutorials

N/A

Panels and their use

Similar Modules

References

Information for Developers


The code is available at Github.