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| + | | text = [https://github.com/Slicer/SlicerAirwaySegmentation This page has been moved to github.] |
| − | {{documentation/{{documentation/version}}/module-header}}
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| − | {{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}
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| − | Extension: [[Documentation/{{documentation/version}}/Extensions/AirwaySegmentation|AirwaySegmentation]]<br>
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| − | Acknowledgments:
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| − | 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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| − | Author: Pietro Nardelli (University College Cork)<br>
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| − | Contributor1:<br>
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| − | Contact: Pietro Nardelli, <email>111126418@umail.ucc.ie</email><br>
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| − | {{documentation/{{documentation/version}}/module-section|Module Description}}
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| − | 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.
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| − | {{documentation/{{documentation/version}}/module-section|Use Cases}}
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| − | *Airway Segmentation starting from chest CT datasets
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| − | {{documentation/{{documentation/version}}/module-section|Tutorials}}
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| − | {{documentation/{{documentation/version}}/module-section|Similar Modules}}
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| − | {{documentation/{{documentation/version}}/module-section|References}}
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| − | {{documentation/{{documentation/version}}/module-section|Information for Developers}}
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| − | The code is available at [https://github.com/PietroNardelli/AirwaySegmentation Github].
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| − | [[Category:Documentation/{{documentation/version}}/Modules/Segmentation]]
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