Difference between revisions of "2017 Winter Project Week/GeodesicSegmentationandLungtumorAnalysis"
From NAMIC Wiki
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==Key Investigators== | ==Key Investigators== | ||
* Patmaa Sridharan - UPenn CBICA | * Patmaa Sridharan - UPenn CBICA | ||
| − | + | * Andras Lasso | |
| + | * Louise Oram | ||
==Project Description== | ==Project Description== | ||
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*Investigate on possibility of calling Slicer from CapTk and vice-versa by using pre-populated project files. | *Investigate on possibility of calling Slicer from CapTk and vice-versa by using pre-populated project files. | ||
<!-- Progress and Next steps bullet points (fill out at the end of project week) --> | <!-- Progress and Next steps bullet points (fill out at the end of project week) --> | ||
| − | * | + | * Had discussions on how to get CAPTk and Slicer communicate and get to use some of the applications of Slicer from CapTk |
| + | * On process of getting geodesic segmentation into a Slicer plugin. | ||
| + | Next Steps | ||
| + | * Finish the plugin and submit it for adding as a module | ||
| + | * Finish the OpenIGT linking to CAPTk to enable both applications communicate | ||
|} | |} | ||
==Background and References== | ==Background and References== | ||
<!-- Use this space for information that may help people better understand your project, like links to papers, source code, or data --> | <!-- Use this space for information that may help people better understand your project, like links to papers, source code, or data --> | ||
Revision as of 18:48, 13 January 2017
Home < 2017 Winter Project Week < GeodesicSegmentationandLungtumorAnalysis
Key Investigators
- Patmaa Sridharan - UPenn CBICA
- Andras Lasso
- Louise Oram
Project Description
| Objective | Approach and Plan | Progress and Next Steps |
|---|---|---|
|
Integrate two applications listed below with slicer and also focus on interaction between Slicer and CAPTk(our internal tool)
A generic segmentation algorithm that uses geodesic distances.
Segmentation of lung tumor from multimodal images- CT and PET using initial seed points. Analyze the segmented region using texture features and predict the nodal failure in lung. |
Next Steps
|
