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.

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 Initialization of segmentation with user interaction or atlas-based segmentation (in order to decrease search space) 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 if more training data is available: deep learning for a better cost generation or for an automatic sector segmentation