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 (model-based) segmentation approach (costs for segmentation optimization can be derived for example from supervised classification of the gland tissue). The shape of individual sector models could be used as segmentation prior)	Creation of 3 zone segmentations of the prostate (different volumes) Prediction of zones in ProstateX challenge with Deep Learning is in progress