Documentation/4.8/Modules/LabelMapSmoothing
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For the latest Slicer documentation, visit the 4.10 page. |
Introduction and Acknowledgements
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This work is part of the National Alliance for Medical Image Computing (NA-MIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research, Grant U54 EB005149. Information on NA-MIC can be obtained from the NA-MIC website. | |||
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Module Description
This filter smoothes a binary label map. With a label map as input, this filter runs an anti-alising algorithm followed by a Gaussian smoothing algorithm. The output is a smoothed label map.
Use Cases
Use this when you have ragged segmentations in a volume, due perhaps to subject motion or inconsistent slice-by-slice manual editing.
Tutorials
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Panels and their use
Parameters:
- Label Selection Parameters: Parameters for selecting the label to smooth
- Label to smooth (labelToSmooth): The label to smooth. All others will be ignored. If no label is selected by the user, the maximum label in the image is chosen by default.
- AntiAliasing Parameters: Parameters for the AntiAliasing algorithm
- Number of Iterations (numberOfIterations): The number of iterations of the level set AntiAliasing algorithm
- Maximum RMS Error (maxRMSError): The maximum RMS error.
- Gaussian Smoothing Parameters: Parameters for Gaussian Smoothing
- Sigma (gaussianSigma): The standard deviation of the Gaussian kernel
- IO: Input/output parameters
- Input Volume (inputVolume): Input label map to smooth
- Output Volume (outputVolume): Smoothed label map
List of parameters generated transforming this XML file using this XSL file. To update the URL of the XML file, edit this page.
Similar Modules
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References
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Information for Developers
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Section under construction. |
[[Category:Documentation/4.8/Modules/
Surface Models |LabelMapSmoothing]]
