Back to
Projects List
Skin Surface Segmentation for NousNav
Key Investigators
- Reuben Dorent (Brigham and Women's Hospital, Harvard Medical School, USA)
- Colin Galvin (Brigham and Women's Hospital, Harvard Medical School, USA)
- Sarah Frisken (Brigham and Women's Hospital, Harvard Medical School, USA)
- Tina Kapur (Brigham and Women's Hospital, Harvard Medical School, USA)
- Sam Horvath (Kitware, USA)
Presenter location: In-person
Project Description
This project was initiated during the PW36.
It aims to create an automated skin segmentation tool for pre-operative scans for NousNav.
A model has been already trained to automatically segment scans in multi-parametric MRI. In this project, we aim to integrate the developed tool into Slicer for further integration in NousNav.
Objective
- Create a Slicer Extension for automatic skin segmentation based on a pre-trained nnUnet framework
- Test the Slicer Extension in different settings, including different OS and different hardware configuration (only CPU, GPU, Mac)
- Integrate the Slicer module into NousNav
Approach and Plan
- Leverage the existing TotalSegmentator Slicer extension as template
- Create a small database that can be shared to test the algorithm in different settings
- Discuss with the NousNav development team for its integration
Progress and Next Steps
- The Slicer extension has been implemented and is publicly available here.
- The extension has been tested on CPU (MacOS and Windows) and GPU (Windows)
- The integration in NousNav is still pending.
Illustrations
![image](https://github.com/NA-MIC/ProjectWeek/assets/17268715/fc907ff6-8872-45ab-a619-2fc444cb0ba1)
Background and References
No response