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Related Concept Videos

Imaging Studies IV: Magnetic Resonance Imaging01:27

Imaging Studies IV: Magnetic Resonance Imaging

347
Introduction:Magnetic Resonance Imaging, or MRI, can include a specialized imaging technique of the urinary system known as Magnetic Resonance Urography (MRU). This radiation-free technique uses strong magnetic fields and radio waves to produce detailed images with the help of a computer. MRU is particularly effective for visualizing fluid-filled structures like the kidneys, ureters, and bladder.Applications of MRI in the Genitourinary SystemKidneys and Ureters: MRI detects tumors, cysts,...
347
Imaging Studies II: Ultrasonography01:24

Imaging Studies II: Ultrasonography

668
IntroductionUltrasonography, or renal ultrasound, is a noninvasive medical imaging technique that uses high-frequency sound waves to visualize the kidneys, ureters, bladder, and surrounding tissues.Indications for Urinary System UltrasonographyUrinary system ultrasonography is indicated in various clinical scenarios, such as:Kidney Stones (Urolithiasis): To detect and monitor the size and presence of kidney or urinary tract stones.Hydronephrosis: To assess the dilation of the renal pelvis and...
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Related Experiment Video

Updated: Mar 12, 2026

Use of 3D Robotic Ultrasound for In Vivo Analysis of Mouse Kidneys
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Towards MRI-Based Autonomous Robotic US Acquisitions: A First Feasibility Study.

Christoph Hennersperger, Bernhard Fuerst, Salvatore Virga

    IEEE Transactions on Medical Imaging
    |November 11, 2016
    PubMed
    Summary

    This study introduces a method for autonomous MRI-guided ultrasound imaging using robotics. The system achieves high accuracy in planning and executing 3D ultrasound trajectories for improved medical interventions.

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    Area of Science:

    • Medical Robotics
    • Medical Imaging
    • Interventional Radiology

    Background:

    • Robotic systems can enhance physician guidance during medical interventions.
    • Accurate ultrasound acquisition is crucial for effective interventional procedures.

    Purpose of the Study:

    • To develop and validate a workflow for autonomous MRI-guided ultrasound (US) acquisitions.
    • To improve the precision and reliability of robotic ultrasound guidance in MRI environments.

    Main Methods:

    • Utilized a structured-light 3D scanner for patient-to-robot and image-to-patient calibration.
    • Planned 3D ultrasound trajectories based on MRI data.
    • Employed autonomous robot control to follow planned trajectories.
    • Implemented online refinement using automatic MRI/US registration for calibration updates.

    Main Results:

    • Achieved initial planned acquisition path accuracy of 2.46 ± 0.96 mm.
    • Demonstrated 3D scan-based alignment accuracy of 4.47 mm for planning and acquisition.
    • Attained an accuracy of 0.97 mm after online calibration updates via closed-loop registration.

    Conclusions:

    • The developed methods enable autonomous MRI-guided ultrasound acquisitions with high accuracy.
    • Online refinement of calibration significantly improves the precision of robotic ultrasound guidance.
    • This approach holds potential for advancing interventional procedures guided by MRI and ultrasound.