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Cortical Shift Tracking Using a Laser Range Scanner and Deformable Registration Methods.

Tuhin K Sinha, Valerie Duay, Benoit M Dawant

    Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
    |August 29, 2015
    PubMed
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    This study introduces a new brain shift tracking protocol using laser range scan (LRS) data and 2D deformable image registration. The method accurately tracks brain movement during surgery, improving image-guided procedures.

    Area of Science:

    • Neurosurgery
    • Medical Imaging
    • Robotics

    Background:

    • Brain shift presents a significant challenge in image-guided surgery, necessitating accurate intra-operative tracking.
    • Previous methods for brain shift compensation have limitations in real-time data acquisition and integration.

    Purpose of the Study:

    • To introduce a novel brain shift tracking protocol using laser range scan (LRS) data.
    • To enable accurate compensation of brain shift during image-guided surgery.
    • To present a strategy for rapid intra-operative measurement acquisition compatible with model-based approaches.

    Main Methods:

    • Utilized a laser range scan (LRS) system to capture intra-operative scene textures and range data.
    • Employed 2D deformable image registration with local support radial basis functions and mutual information to register serial range images.

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  • Tracked 3D points in serial LRS datasets using the derived deformation field.

    • Main Results:

    • Achieved an average error of 1.1 mm in tracking brain movement for shifts of approximately 20.5 mm.
    • Demonstrated the feasibility of rapid intra-operative shift measurement acquisition.
    • Validated the protocol's compatibility with model-based brain deformation compensation strategies.

    Conclusions:

    • The novel LRS-based protocol offers a precise and efficient method for tracking brain shift intra-operatively.
    • This technique enhances the accuracy of image-guided surgery by providing real-time brain shift compensation.
    • The presented strategy facilitates the integration of intra-operative data into existing surgical navigation systems.