SlicerCineTrack: An open-source research toolkit for target tracking verification in 3D Slicer

Target motion monitoring plays a significant role in several computer-assisted interventions. However, ensuring the reliability of tracking algorithms can be challenging without adequate tools. We introduce SlicerCineTrack, a free open-source research toolkit, designed to provide users with a user-f...

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Bibliographic Details
Published in:Computer methods and programs in biomedicine Vol. 258; p. 108497
Main Authors: Tran, HaPhan, Mesrkhani, Teo, Banh, Jacqueline, Lopez, Nicholas Caro, Prasad, Venkat Guru, Jalil, Sayeed, Afzal, Mubariz, Lugez, Elodie
Format: Journal Article
Language:English
Published: Elsevier B.V 01-01-2025
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Summary:Target motion monitoring plays a significant role in several computer-assisted interventions. However, ensuring the reliability of tracking algorithms can be challenging without adequate tools. We introduce SlicerCineTrack, a free open-source research toolkit, designed to provide users with a user-friendly interface for visualizing their target tracking results. SlicerCineTrack was developed as an extension to 3D Slicer. It enables users to visualize target tracking results by sequentially playing back cine medical images, and simultaneously overlaying the target segmentation at the locations indicated by the tracking results. The extension was evaluated by established experts in computer-assisted interventions and image-guided therapy. SlicerCineTrack is available for download from the 3D Slicer extension catalog for stable releases, and its GitHub repository for preview releases. Evaluation results demonstrate SlicerCineTrack’s effectiveness in discriminating between different tracking performances. Moreover, the experts found the extension convenient to use due to its intuitive and user-friendly interface. SlicerCineTrack was found to be effective at verifying the reliability of tracking algorithms. In turn, SlicerCineTrack shows potential for target tracking verification, as well as algorithm validation and refining through parameter tuning. •Open-source toolkit for target tracking verification in 3D Slicer.•Enables visualization of tracking results with cine images and segmentation overlays.•Evaluated by experts; found effective and user-friendly for tracking performance.•Facilitates algorithm validation and refinement.•Extends 3D Slicer functionalities to support cutting-edge research in CAI.
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ISSN:0169-2607
1872-7565
1872-7565
DOI:10.1016/j.cmpb.2024.108497