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>p.nardelli@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 airway segmentation 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. These 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

• Segmentation Parameters: Input parameters for segmentation.
  • Airway Label Value: The integer value (0-255) to use for the segmentation results. This will determine the color of the segmentation that will be generated by the algorithm.
  • Seeds: Seed points for the algorithm. Three seeds points must be placed. The first one in the trachea, the others in the main bronchi of the left and right lungs.

• IO: Input and Output parameters.
  • Input Volume: Input chest CT dataset to be segmented.
  • Output Parameters: Output label.

The user interface panel:

AirwaySegmentation Module GUI

Similar Modules

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References

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Information for Developers

The code is available at Github.