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Software-defined Radar for MRI Motion Correction: A versatile, vendor-independent Platform.

Christoph Maier, Eddy Solomon, George Verghese

    Medrxiv : the Preprint Server for Health Sciences
    |June 4, 2026
    PubMed
    Summary

    A novel software-defined radar system effectively detects and corrects motion during MRI scans. This contactless, vendor-independent technology improves image quality for various applications.

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    Area of Science:

    • Medical Imaging
    • Biomedical Engineering
    • Radar Technology

    Background:

    • Motion artifacts significantly degrade Magnetic Resonance Imaging (MRI) quality.
    • Existing motion correction techniques can be vendor-specific or invasive.

    Purpose of the Study:

    • To develop and evaluate a flexible, software-defined radar platform for contactless, vendor-independent motion detection and correction in MRI.
    • To assess the platform's efficacy in both retrospective and prospective motion management.

    Main Methods:

    • Implemented a continuous-wave (CW) Doppler radar using software-defined radio and GNU Radio framework.
    • Deployed the system within a 1.5T MRI scanner, synchronizing it with MRI acquisitions.
    • Evaluated performance using a motion phantom and healthy volunteers, tracking respiration and bulk motion.

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    Main Results:

    • The radar provided robust motion signals, correlating strongly with cine MRI ground truth.
    • Retrospective correction of abdominal data suppressed respiratory artifacts, yielding image quality comparable to self-gating.
    • Prospective triggering reduced motion artifacts in phantom studies; sporadic events like swallowing were also detected.

    Conclusions:

    • Software-defined radar is an effective platform for prospective and retrospective motion correction in MRI.
    • The system's independence from MRI hardware, ultra-wideband capabilities, and versatility support broad applicability.
    • This technology offers a flexible solution for enhancing MRI across diverse imaging protocols and body regions.