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
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