View source for 2017 Winter Project Week/GeodesicSegmentationandLungtumorAnalysis

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Image:PW-Winter2017.png|link=2017_Winter_Project_Week#Projects|[[2017_Winter_Project_Week#Projects|Projects List]]
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==Key Investigators==
* Patmaa Sridharan (MS)


==Project Description==
 
{| class="wikitable"
! style="text-align: left; width:27%" |   Objective
! style="text-align: left; width:27%" |   Approach and Plan
! style="text-align: left; width:27%" |   Progress and Next Steps
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<!-- Objective bullet points -->

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.
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<!-- Approach and Plan bullet points -->
*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.
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*
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==Background and References==
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