PW44_2026_GranCanaria: Add project SlicerAdaptiveBrush

Author: benzwick

PW44_2026_GranCanaria/Projects/SlicerAdaptiveBrush/README.md

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+---
+layout: pw44-project
+
+permalink: /:path/
+
+project_title: SlicerAdaptiveBrush - Adaptive Brush Segment Editor Effect
+category: Segmentation / Classification / Landmarking
+presenter_location: In-person
+
+key_investigators:
+
+- name: Ben Zwick
+  affiliation: The University of Western Australia and Talk2View
+  country: Australia
+
+- name: Andy Huynh
+  affiliation: Talk2View
+  country: Australia
+
+---
+
+# Project Description
+
+<!-- Add a short paragraph describing the project. -->
+
+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
+
+<!-- Describe here WHAT you would like to achieve (what you will have as end result). -->
+
+1. Submit to Extension Index
+2. Improve documentation and tutorials
+3. Optimize performance for real-time interaction
+4. Add GPU acceleration for Level Set algorithm
+
+## Approach and Plan
+
+<!-- Describe here HOW you would like to achieve the objectives stated above. -->
+
+### 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
+
+<!-- Update this section as you make progress, describing of what you have ACTUALLY DONE.
+     If there are specific steps that you could not complete then you can describe them here, too. -->
+
+1. ...
+
+# Illustrations
+
+<!-- Add pictures and links to videos that demonstrate what has been accomplished.
+![Description of picture](Example2.jpg)
+![Some more images](Example2.jpg)
+-->
+
+# Background and References
+
+<!-- If you developed any software, include link to the source code repository.
+     If possible, also add links to sample data, and to any relevant publications. -->
+
+Code repository:
+
+- <https://github.com/benzwick/SlicerAdaptiveBrush>
+
+## 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](https://www.itksnap.org/) - Original inspiration
+- [3D Slicer Segment Editor](https://slicer.readthedocs.io/en/latest/user_guide/modules/segmenteditor.html)
+- [SlicerSegmentEditorExtraEffects](https://github.com/lassoan/SlicerSegmentEditorExtraEffects)