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 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.