2017 Winter Project Week/GeodesicSegmentationandLungtumorAnalysis

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  Projects List

Key Investigators

• Sarthak.P, CBICA, UPenn
• Saima.R, CBICA, UPenn
• Ratheesh.K CBICA, UPenn
• 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

Objective	Approach and Plan	Progress and Next Steps
Integrate two algorthims with slicer and also focus on getting some applications available in Slicer to be callable from CapTk(out 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.	Do a code level integration of this application with Slicer Enabling Slicer's GUI to provide seed point intializations and to display the algorithm output.