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Related Experiment Video

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Technical Approach for Infrared Tracking for Soft Tissue Navigation with a Holographic Head-Mounted Display and Preclinical Validation
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Simultaneous Reconstruction and Tracking for Motion Correction in Image Guided Surgery.

Zhao Zheng, Jingfan Fan, Long Shao

    IEEE Transactions on Bio-Medical Engineering
    |September 26, 2025
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a new non-contact, uncalibrated optical tracking system for image-guided surgery (IGS). The novel framework improves registration accuracy and efficiency in surgical navigation by simultaneously tracking tools and surfaces.

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    Area of Science:

    • Medical Imaging
    • Surgical Navigation
    • Computer-Assisted Surgery

    Background:

    • Image-guided surgery (IGS) relies on optical tracking systems (OTS) for tool localization.
    • Conventional IGS methods using probes or 3D cameras introduce errors like compressive deformation or calibration inaccuracies.
    • Accurate patient registration and intraoperative motion correction are crucial for effective IGS.

    Purpose of the Study:

    • To develop a simultaneous reconstruction and tracking framework for markered tools and markerless surfaces in IGS.
    • To eliminate the need for calibration between measurement devices and the OTS.
    • To enhance the accuracy and efficiency of image-guided surgery through non-contact tracking.

    Main Methods:

    • A synchronized near-infrared (NIR) digital light projector (DLP) integrated with OTS projects fringe patterns.
    • Surgical tools and surfaces are tracked simultaneously within the OTS coordinate system.
    • The reconstructed surface is registered to CT image space for intraoperative motion correction.

    Main Results:

    • The proposed method achieved a target registration error (TRE) of 0.805±0.152 mm in phantom experiments.
    • In cadaveric specimen experiments, the TRE was 1.328±0.318 mm.
    • The method demonstrated superior performance compared to conventional calibrated measurement techniques in phantom studies.

    Conclusions:

    • The developed approach enhances registration accuracy and efficiency in IGS.
    • Non-contact and uncalibrated tracking significantly improves surgical navigation.
    • This framework offers a promising solution for more precise and efficient image-guided interventions.