Difference between revisions of "Modules:FastMarchingSegmentation-Documentation-3.5"
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| − | |[[Image: | + | |[[Image:fastmarching-acks.jpg|thumb|280px|Supported by BrainScienceFoundation]] |
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Revision as of 02:18, 13 December 2009
Home < Modules:FastMarchingSegmentation-Documentation-3.5Return to Slicer 3.5 Documentation
Fast Marching Segmentation
FastMarchingSegmentation
General Information
Module Type & Category
Type: Interactive
Category: Segmentation
Authors, Collaborators & Contact
- Andriy Fedorov, BWH
- Eric Pichon
- Contact: Andriy Fedorov, fedorov at bwh
Module Description
This module implements segmentation based on fast marching algorithm.
Usage
Examples, Use Cases & Tutorials
- Note use cases for which this module is especially appropriate, and/or link to examples.
- Link to examples of the module's use
- Link to any existing tutorials
Quick Tour of Features and Use
List all the panels in your interface, their features, what they mean, and how to use them. For instance:
- Input panel:
- Parameters panel:
- Output panel:
- Viewing panel:
Development
Features under development:
- add volume rendering -- DONE
- add range control widget to simplify result adjustment -- DONE
- add progress reporting -- DONE
- add ability to initialize with label, not only with fiducials
- documentation
- simplify output label initialization process (selector widget) -- DONE
- integration with Editor
- switch active fiducial list when a new one is added -- DONE
- add parameter node
- Ron: specify the target segmented volume in either mm^3 or cm^3 or major dimensions (1x2x4cm)
- add volume rendering on/off capability -- DONE
Dependencies
Other modules or packages that are required for this module's use.
Known bugs
Follow this link to the Slicer3 bug tracker.
- Execution time of one of the algorithm components is O(max_image_intensity^2). A temporary workaround if the execution time is not acceptabe is to rescale the image to have intensity range of about 600 for reasonable performance. In the future, this step will be done automatically by the implementation.
Usability issues
Follow this link to the Slicer3 bug tracker. Please select the usability issue category when browsing or contributing.
Source code & documentation
Source code can accessed here
Links to documentation generated by doxygen.
More Information
Acknowledgment
Supported by Brain Science Foundation.
References
- Pichon E, Tannenbaum A, Kikinis R. A statistically based flow for image segmentation. Med Image Anal. 2004 Sep;8(3):267-74. PMID: 15450221. [1]
