Difference between revisions of "2009 Winter Project Week UtahPlugins"
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+ | |[[Image:UtahSegPlugin_screen.png|thumb|320px|Screen shot of the segmentation plugin.]] | ||
+ | |[[Image:UtahSegPlugin_result.png|thumb|320px|Output of the segmentation plugin, showing the bias corrected image and the probabilities for white and gray matter.]] | ||
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===Key Investigators=== | ===Key Investigators=== | ||
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− | We have implemented a preliminary version of a registration and segmentation plugins using CLP. | + | We have implemented and tested a preliminary version of a registration and segmentation plugins using CLP. |
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+ | The multi-channel MRI bias correction scheme with spatial probabilistic constraints have been implemented as a separate Slicer plugin and is available through [http://www.nitrc.org/projects/probbiascor NITRC] | ||
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+ | Remaining task: | ||
+ | Better integration with Slicer by having MRML outputs that can be used for subsequent processing within Slicer. | ||
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Latest revision as of 18:33, 9 January 2009
Home < 2009 Winter Project Week UtahPlugins
Insert non-formatted text here
Key Investigators
- Marcel Prastawa, Utah 2
- Steve Pieper, Isomics, Inc.
Objective
itkEMS is a brain MRI segmentation software that combines registration and bias correction. It is currently in use at UNC-CH and Utah as a general purpose segmentation tool, and has also been applied as a method for skull stripping structural and DT MRI. It is currently available as a stand-alone software that uses ITK and FLTK.
The goal of this project is to develop Slicer plugins that incorporate different components of the segmentation software to provide the NA-MIC community with the capability of developing their own custom segmentation pipelines.
Approach, Plan
We plan to develop different plugins using CLP that can be combined together to form a segmentation pipeline. We will explore the use of the module chaining mechanism developed by Marco.
Progress
We have implemented and tested a preliminary version of a registration and segmentation plugins using CLP.
The multi-channel MRI bias correction scheme with spatial probabilistic constraints have been implemented as a separate Slicer plugin and is available through NITRC
Remaining task: Better integration with Slicer by having MRML outputs that can be used for subsequent processing within Slicer.