SlicerCineTrackAbout the project
Tracking a moving target, a tumor or an organ, is central to many computer-assisted interventions, but confirming that a tracking algorithm is reliable is hard without proper tooling. SlicerCineTrack gives researchers an intuitive visual environment to spot exactly where a tracking algorithm succeeds or drifts, so they can validate reliability, refine algorithms, and tune parameters with confidence.
SlicerCineTrack is developed by the Laboratory for Translational Medicine at Toronto Metropolitan University (Toronto, ON, Canada), and was evaluated by established experts in computer-assisted interventions and image-guided therapy.
Publication
SlicerCineTrack: An open-source research toolkit for target tracking verification in 3D Slicer
HaPhan Tran, Teo Mesrkhani, Jacqueline Banh, Elodie Lugez - Computer Methods and Programs in Biomedicine, Vol. 258 (2024)
Read the paper →Contributors
- Elodie Lugez (Toronto Metropolitan University, Toronto, ON)
- HaPhan Tran (Toronto Metropolitan University, Toronto, ON)
- Fabyan Mikhael (Toronto Metropolitan University, Toronto, ON)
- Mubariz Afzal (Toronto Metropolitan University, Toronto, ON)
- Teo Mesrkhani (Toronto Metropolitan University, Toronto, ON)
- Jacqueline Banh (Toronto Metropolitan University, Toronto, ON)
- Nicholas Caro Lopez (Toronto Metropolitan University, Toronto, ON)
- Venkat Guru Prasad (Toronto Metropolitan University, Toronto, ON)
- Sayeed Jalil (Toronto Metropolitan University, Toronto, ON)
- Homa Ahmadinoori (Toronto Metropolitan University, Toronto, ON)
Funding sources
- Toronto Metropolitan University - Faculty of Science
- NSERC Discovery Grant
License
SlicerCineTrack is distributed under the BSD-style Slicer License, permitting academic and commercial use without restriction. Development is fully public, including source code, data, manuals, and presentations, on GitHub.