Documentation/Nightly/Modules/LabelMapSmoothing

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For the stable Slicer documentation, visit the 4.6 page.


Introduction and Acknowledgements

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.
Author: FIRSTNAME LASTNAME, AFFILIATION
Contributor1: FIRSTNAME LASTNAME, AFFILIATION
Contributor2: FIRSTNAME LASTNAME, AFFILIATION
Contact: FIRSTNAME LASTNAME,

Surgical Planning Laboratory (SPL) <-Replace this logo with yours  

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

[[Category:Documentation/Nightly/Modules/
 Surface Models
 |LabelMapSmoothing]]