2017 Winter Project Week/ProstateSectorSegmentation

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  Projects List

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  Transversal slice of Prostate MRI.

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  Sector Map according to PI-RADS v2.

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  Manual Segmentation on transversal slices.

Key Investigators

• Anneke Meyer, University of Magdeburg (Germany)
• Andrey Fedorov, BWH
• Alireza Mehrtash, BWH
• Christian Hansen, University of Magdeburg (Germany)
• Teodora Szasz, University of Chicago

Project Description

Objective	Approach and Plan	Progress and Next Steps
Segmentation of prostate and its sectors Specifically, segmentation of the following prostate sectors: peripheral zones, transition zones, central zone, anterior fibromuscular stroma and urethral sphincter	Generation/ Refinement of ground truth data Creation of a 3D sector model Test with ProstateX challenge dataset (where zones of findings are given) to predict the zone with Deep Learning if more training data is available: deep learning for an automatic sector segmentation Try atlas-based segmentation approach to map zone segmentations on more datasets	Creation of 3 zone segmentations of the prostate (different volumes) Prediction of zones for specific locations in ProstateX dataset with Deep Learning is in progress Next Steps: Create 3D model with higher resolution. Atlas based segmentation on more publicly available data.