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>

National Alliance for Medical Image Computing (NA-MIC)   University College Cork (UCC)   Bioelectromagnetics group UCC   Surgical Planning Laboratory (SPL)

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

Airway Segmentation Module

Tutorials

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Panels and their use

AirwaySegmentation Module GUI

Similar Modules

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References

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Information for Developers

The code is available at Github.