Project Week 25/CNN for multi-plane prostate segmentation

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Key Investigators

• Anneke Meyer (University of Magdeburg, Germany)
• Alireza Mehrtash (Brigham and Women's Hospital, Harvard Medical School, USA)
• Christian Hansen (University of Magdeburg, Germany)
• Andrey Fedorov (Brigham and Women's Hospital, Harvard Medical School, USA)
• Jennifer Nitsch (University of Bremen, Germany)

Project Description

Objective	Approach and Plan	Progress and Next Steps
For prostate lesion assessment, MRI volumes in sagittal, coronal and axial orientation are acquired. The goal is to segment the prostate in these volumes and fuse the segmentations in order to obtain better accuracy, especially in the apex and base regions (compared to segmentations obtained only on axial volumes).	Work done: created training data for different orientations Automatic segmentation of each plane with Encoder-Decoder Network Work ahead: Explore, discuss and investigate different approaches for fusion of the segmentations, e.g. simple majority voting, suface reconstruction from point cloud, ...	built framework for predicting and fusing the segmentations tested simple majority voting in isotropic voxel volumes Future Work: weighted voting depending on location and plane Surface extraction from point clouds

Illustrations

MRIs of the prostate (axial, sagittal and coronal volume)