TubeTK/Documentation/InteractivePDFSegmenter
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Revision as of 03:49, 7 January 2011 by Danielle.pace (talk | contribs)
Documentation
TODO: insert algorithm description here, including parameter descriptions
Tutorial
Tutorial Data
- The 2D brain image used in this example is distributed as part of Slicer4, and is located in Slicer4/Testing/Data/Input/brainSliceDOUBLE.mha
Tutorial Steps
- Load brainSliceDOUBLE.mha:
- File -> Add Volume
- Open the Interactive PDF Segmenter module
- Set the input and output volumes
- Input Volume 1: brainSliceDOUBLE
- Input Volume 2 (optional): None
- Input Volume 3 (optional): None
- Output Volume: Create new volume
- Creates a new volume called "Volume": this will hold the final segmentation
- Set the view layout to "Red slice only"
- Create the label map roughly outlining the structures to be segmented and the background
- Label Map: Create new volume
- Creates a new volume called "Volume1": this will hold the input label map
- A small version of Slicer's Editor module is embedded into the Interactive PDF Segmenter
- Create a label map roughly outlining the structures of interest and the background by using the paint, erase and threshold functions
- Click on the "Paint" button to begin editing
- Use a different label color for each structure of interest: choose the label by clicking the colored push button
-
- Create a label for the background as well
- In the following example, green represents gray matter, yellow represents white matter, and brown represents the cerebrospinal fluid (CSF):
- Void Id: 0
- Value that specifies nothing in the label map
- Label Map: Create new volume
- Specify the segmentation parameters
- The goal segmentation buttons provide example parameters depending on whether the shapes of the expected segmentations are jagged, smooth or intermediate
- In this example, we will use custom parameters
- Erosion Radius: 0
- Hole Fill Iterations: 2
- False Positive Ratio: 1.00
- Probability Smoothing Standard Deviation: 1.00
- Draft Mode: Off
- Reclassify Object Mask: On
- Reclassify Not Object Mask: On
- Run the segmentation