Documentation/Nightly/Modules/AirwaySegmentation

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Introduction and Acknowledgements

Extension: AirwaySegmentation 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. Author: Pietro Nardelli (University College Cork) Contributor1: Contact: Pietro Nardelli, <email>111126418@umail.ucc.ie</email>

GE Global Research   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

Information for Developers

The code is available at Github.