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SlicerAdaptiveBrush - Adaptive Brush Segment Editor Effect
Key Investigators
- Ben Zwick (The University of Western Australia and Talk2View, Australia)
- Andy Huynh (Talk2View, Australia)
Project Description
SlicerAdaptiveBrush is a segment editor effect extension for 3D Slicer that provides an adaptive brush tool for semi-automatic segmentation. The brush automatically segments regions based on image intensity similarity within the brush area, adapting to image features (edges, boundaries) rather than using a fixed geometric shape.
Objective
- Submit to Extension Index
- Improve documentation and tutorials
- Optimize performance for real-time interaction
- Add GPU acceleration for Level Set algorithm
Approach and Plan
1. Submit to Extension Index
- Complete submission requirements
- Test on all platforms (Linux, macOS, Windows)
- Create extension icon and screenshots
2. Improve documentation
- Write user tutorial with example workflows
- Document algorithm selection guide
- Add parameter tuning recommendations
3. Optimize performance
- Profile and optimize critical paths
- Implement ROI result caching for nearby brush positions
- Add slice-by-slice preview mode
4. GPU acceleration
- Implement OpenCL/CUDA backend for Level Set
- Benchmark CPU vs GPU performance
Progress and Next Steps
- …
Illustrations
Background and References
Code repository:
Features
- Multiple algorithm choices - Geodesic Distance, Watershed, Random Walker, Level Set, Connected Threshold, Region Growing, Threshold Brush
- Auto-threshold methods - Otsu, Huang, Triangle, Maximum Entropy, IsoData, Li
- Automatic intensity analysis - GMM-based threshold estimation adapts to image content
- Edge-aware boundaries - Respects anatomical boundaries automatically
- 2D and 3D modes - Works on single slices or volumetrically (sphere mode)
References
- ITK-SNAP Adaptive Brush - Original inspiration
- 3D Slicer Segment Editor
- SlicerSegmentEditorExtraEffects