Difference between revisions of "ProstateSegmentation"
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* Using existing algorithms developed in 3D Slicer such as [https://www.youtube.com/watch?v=dfu2gugHLHs GrowCut] and [https://www.youtube.com/watch?v=1mYNwJbE7dQ VolumeClip] and combining them | * Using existing algorithms developed in 3D Slicer such as [https://www.youtube.com/watch?v=dfu2gugHLHs GrowCut] and [https://www.youtube.com/watch?v=1mYNwJbE7dQ VolumeClip] and combining them | ||
* Develop automated correction of incorrect classified voxels | * Develop automated correction of incorrect classified voxels | ||
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Revision as of 18:49, 22 December 2014
Home < ProstateSegmentation
Key Investigators
Peter Behringer, Andriy Fedorov
Project Description
Objective
- Development of a fast and easy to use prostate segmentation tool in 3D Slicer
- Robust to use in different modalities of prostate MRI (T1 and DCE)
- Minimum of user interaction
- Short computation time
Approach, Plan
- Creating a scripted python module in Slicer
- Using existing algorithms developed in 3D Slicer such as GrowCut and VolumeClip and combining them
- Develop automated correction of incorrect classified voxels
