2017 Winter Project Week/ProstateSectorSegmentation

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Home < 2017 Winter Project Week < ProstateSectorSegmentation

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.

Background and References