Difference between revisions of "2017 Winter Project Week/GeodesicSegmentationandLungtumorAnalysis"

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==Key Investigators==
 
==Key Investigators==
* Sarthak.P, CBICA, UPenn
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* Patmaa Sridharan - UPenn CBICA
* Saima.R, CBICA, UPenn
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* Andras Lasso
* Ratheesh.K CBICA, UPenn
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* Louise Oram
* Patmaa.S CBICA,UPenn
 
* Mark.B , CBICA, UPenn
 
* Ragini.V CBICA, UPenn
 
* Despina k, CBICA, UPenn
 
* Yong F, CBICA, UPenn
 
* Christos.D, CBICA, UPenn
 
  
 
==Project Description==
 
==Project Description==
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<!-- Objective bullet points -->
 
<!-- Objective bullet points -->
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Integrate two applications listed below with slicer and also focus on interaction between Slicer and CAPTk(our internal tool)
 
* Geodesic Segmentation
 
* Geodesic Segmentation
 
   A generic segmentation algorithm that uses geodesic distances.
 
   A generic segmentation algorithm that uses geodesic distances.
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<!-- Approach and Plan bullet points -->
 
<!-- Approach and Plan bullet points -->
* Geodesic Segmentation
 
  
* SBRT Lung Tumor segmentation and Analysis
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*Analyze the compatibility between the dependencies of our code with that of Slicer and solve it for smooth interaction with our application.
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*Enabling Slicer's GUI to provide seed point initialization required for our application.
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*Do a code level integration of geodesic segmentation and SBRT with Slicer.
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*Investigate on possibility of calling Slicer from CapTk and vice-versa by using pre-populated project files.
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<!-- Progress and Next steps bullet points -->
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* Had discussions on how to get CAPTk and Slicer communicate and get to use some of the applications of Slicer from CapTk
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* On process of getting geodesic segmentation into a Slicer plugin.
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* Next Steps
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* Finish the plugin and submit it for adding as a module
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* Finish the OpenIGT linking to CAPTk to enable both applications communicate
  
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<!-- Progress and Next steps bullet points (fill out at the end of project week) -->
 
*
 
 
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==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 -->

Latest revision as of 18:56, 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)

  • Geodesic Segmentation
  A generic segmentation algorithm that uses geodesic distances.
  • SBRT Lung Tumor segmentation and Analysis
 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.
  • Analyze the compatibility between the dependencies of our code with that of Slicer and solve it for smooth interaction with our application.
  • Enabling Slicer's GUI to provide seed point initialization required for our application.
  • Do a code level integration of geodesic segmentation and SBRT with Slicer.
  • Investigate on possibility of calling Slicer from CapTk and vice-versa by using pre-populated project files.
  • 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