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SlicerCineTrack: An open-source research toolkit for target tracking verification in 3D Slicer
HaPhan Tran1, Teo Mesrkhani1, Jacqueline Banh2
1Department of Computer Science, Toronto Metropolitan University, Toronto, Canada.
Computer Methods and Programs in Biomedicine
|November 21, 2024
Summary
SlicerCineTrack is a new, free toolkit that helps researchers visualize target tracking results for computer-assisted interventions. Experts found it effective for verifying tracking algorithm reliability and user-friendly.
Area of Science:
- Medical image analysis
- Computer-assisted interventions
- Image-guided therapy
Background:
- Target motion monitoring is crucial for computer-assisted interventions.
- Reliability of tracking algorithms is difficult to ensure without proper tools.
Purpose of the Study:
- Introduce SlicerCineTrack, a free, open-source research toolkit.
- Provide a user-friendly interface for visualizing target tracking results.
- Enhance the reliability assessment of tracking algorithms.
Main Methods:
- Developed as an extension for 3D Slicer.
- Visualizes target tracking by playing cine medical images.
- Overlays target segmentation with tracking results.
Main Results:
- SlicerCineTrack is available via the 3D Slicer extension catalog and GitHub.
- Effectively discriminates between different tracking algorithm performances.
- Experts found the interface intuitive and user-friendly.
Conclusions:
- SlicerCineTrack effectively verifies tracking algorithm reliability.
- Shows potential for target tracking verification and algorithm validation.
- Facilitates algorithm refinement through parameter tuning.
