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    This study introduces a novel imageless tracking method for interventional CT procedures using fractional CT scanning. The technique accurately localizes needles and patients directly in projection space, enabling reduced X-ray dose and more frequent localizations.

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    Area of Science:

    • Medical Imaging
    • Interventional Radiology
    • Image-Guided Therapy

    Background:

    • Accurate needle and patient tracking is crucial for interventional CT procedures.
    • Current methods often require full CT image reconstruction, increasing radiation dose.
    • Real-time feedback for needle placement is essential for precision and safety.

    Purpose of the Study:

    • To develop an imageless tracking method for needles and patients in interventional CT.
    • To enable accurate localization without full CT image reconstruction.
    • To facilitate X-ray dose reduction through fractional scanning.

    Main Methods:

    • Utilizes fractional CT scanning with sparse view sampling.
    • Detects metallic needles and spherical markers in projection (sinogram) space.
    • Transforms projection data to physical space for needle and patient localization.

    Main Results:

    • Achieved voxel-size needle tip localization error in phantom studies.
    • Demonstrated comparable accuracy to 3-D image-space methods.
    • Enabled X-ray dose reduction via fractional scanning for frequent localizations.

    Conclusions:

    • The proposed imageless method accurately tracks needles and patients during interventional CT.
    • Fractional scanning allows for dose reduction or increased localization frequency.
    • This technique enhances safety and efficiency in image-guided procedures.