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| − | <noinclude>{{documentation/versioncheck}}</noinclude>
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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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| − | {{documentation/{{documentation/version}}/module-introduction-start|{{documentation/modulename}}}}
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| − | {{documentation/{{documentation/version}}/module-introduction-row}}
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| − | Extension: [[Documentation/{{documentation/version}}/Extensions/AirwaySegmentation|AirwaySegmentation]]<br>
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| − | Acknowledgments:
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| − | This work is supported by NA-MIC, the Slicer Community and University College of Cork.<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-introduction-row}}
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| − | {{documentation/{{documentation/version}}/module-introduction-logo-gallery
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| − | |{{collaborator|logo|namic}}|{{collaborator|longname|namic}}
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| − | |Image:UCC-logoNEW.png|University College Cork (UCC)
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| − | |Image:Biolectromagnetics_group_UCC.jpg|Bioelectromagnetics group UCC
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| − | |{{collaborator|logo|spl}}|{{collaborator|longname|spl}}
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| − | {{documentation/{{documentation/version}}/module-introduction-end}}
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| − | {{documentation/{{documentation/version}}/module-section|Module Description}}
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| − | 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.
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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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| − | {|
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| − | |[[Image:AirwaySegmentation_Module.png|thumb|500px|Airway Segmentation Module ]]
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| − | {{documentation/{{documentation/version}}/module-section|Tutorials}}
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| − | {{documentation/{{documentation/version}}/module-section|Panels and their use}}
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| − | * <span>'''''Segmentation Parameters'''''</span>: Input parameters for segmentation.
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| − | ** <span>'''Airway Label Value'''</span>: 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.
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| − | ** <span>'''Seeds'''</span>: 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.
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| − | * <span>'''''IO'''''</span>: Input and Output parameters.
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| − | ** <span>'''Input Volume'''</span>: Input chest CT dataset to be segmented.
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| − | ** <span >'''Output Parameters'''</span>: Output label.
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| − | The user interface panel:
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| − | |[[Image:Slicer4-AirwaySegmentation-PANEL.png|thumb|300px|{{documentation/modulename}} Module GUI ]]
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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/Slicer-AirwaySegmentation Github].
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| − | {{documentation/{{documentation/version}}/module-footer}}
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| − | [[Category:Documentation/{{documentation/version}}/Modules/Segmentation]]
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