Documentation/4.1/Modules/SimpleRegionGrowingSegmentation

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: Jim Miller, GE Contact: Jim Miller <email>millerjv@ge.com</email>

NA-MIC   GE   Itk

Module Description

The fiducial tool bar icon (identified inside a red box) on the Slicer tool bar is shown.

Fiducial tool bar icon

Use Cases

This module can be used to obtain a volumetric segmentation of a region of interest. Most frequently used for these scenarios:

• Example volumetric segmentation of a tumor given a set of fiducial points selected on the tumor:

User input in the form of fiducials

Segmentation result: Multiplier=2.5, Neighborhood radius=1, Number of Iterations=5

This module is useful for obtaining a 2-class segmentation. The fiducials are placed on parts of the image that correspond to the target (foreground). The segmentation can be refined by modifying the number of iterations, the multiplier, and the neighborhood radius options available on the user interface panel. Additionally, the user may also place additional fiducials on the image.

Panels and their use

Parameters:

     * '
     
       ** ': 
     
   
 

The user interface panel:

Similar Modules

• Robust Statistics Segmenter
• GrowCut segmentation in the editor module