Difference between revisions of "2009 Winter Project Week UtahPlugins"
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<h1>Progress</h1> | <h1>Progress</h1> | ||
We have implemented and tested 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. | ||
+ | |||
+ | 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] | ||
Remaining task: | Remaining task: | ||
− | Better integration with Slicer by having MRML | + | Better integration with Slicer by having MRML outputs that can be used for subsequent processing within Slicer. |
</div> | </div> |
Latest revision as of 18:33, 9 January 2009
Home < 2009 Winter Project Week UtahPlugins
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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.