Difference between revisions of "ProstateSegmentation"
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<h3>Approach, Plan</h3> | <h3>Approach, Plan</h3> | ||
| + | * Creating a scripted python module in Slicer | ||
* 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 |
| − | * | + | * Draft an easy to use GUI |
</div> | </div> | ||
<div style="width: 27%; float: left; padding-right: 3%;"> | <div style="width: 27%; float: left; padding-right: 3%;"> | ||
Revision as of 00:32, 18 December 2014
Home < ProstateSegmentationKey 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
- Draft an easy to use GUI
