Difference between revisions of "Documentation/Nightly/Modules/Editor/WatershedFromMarkers"
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|[[Image:step3_watershed.png|thumb|Step 3: Label Map after Watershed]] | |[[Image:step3_watershed.png|thumb|Step 3: Label Map after Watershed]] | ||
|[[Image:step4_changelabelmap.png|thumb|Step 4: Label Map after Change Label effect]] | |[[Image:step4_changelabelmap.png|thumb|Step 4: Label Map after Change Label effect]] | ||
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|[[Image:61.png|thumb|Step 6: Final Label Map]] | |[[Image:61.png|thumb|Step 6: Final Label Map]] | ||
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Revision as of 13:58, 6 August 2013
Home < Documentation < Nightly < Modules < Editor < WatershedFromMarkers
For the latest Slicer documentation, visit the read-the-docs. |
WARNING: This module is Work in Progress, which means:
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Introduction and Acknowledgements
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Module Description
Watershed from Markers is an edge based editing tool that detects edges and fills in a specific area based on the given outlines created in the label map. It is an effective way to segment features with robust outlines more efficiently.
Use Cases
- Use MRBrain Tumor Time Point 1 from Slicer's Sample Data. Scroll through the data and find a feature of interest, for example the tumor.
- With the Paint tool, create an original label map as the input for the Watershed from Markers tool. Using one color, paint the tumor precisely. Watershed from Markers is an edge based algorithm and labeling pixels outside of the tumor outline will result in an inaccurate label map. In another color, outline the tumor and fill in part of the background. This can be done for one slide or multiple slides in which the tumor is visible. Labeling more slides will result in a more accurate watershed.
- After the Watershed from Markers is applied, the tumor will be represented by one color and the background will be represented by another color.
- Using the Change Label effect, change the background color to black.
- Once the background label has been changed, look through each slice for leaked pixels.
- To fix leaked pixels, use the Paint tool to erase extra pixels from the label map. After looking through each slice for leaked pixels, the label map should accurately represent your tumor.
Tutorials
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References
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Information for Developers
Section under construction. |