MR-Conditional Robotic Cardiac Intervention: Design and Validation in Patient-Specific Phantoms

Manual hand-held catheterization by clinicians under Magnetic Resonance Imaging (MRI) has become popular for the treatment of cardiovascular diseases such as pulmonary edema and heart failure. However, the limited space of the MRI bore makes it challenging for clinicians to access the opening, and the prolonged operation can cause back injury. To implement MRI-guided robot-assisted catheterization, this paper presents an MR-conditional robotic system for right heart catheterization (MR-RHC). Our 2-degree-of-freedom (DoF) robotic manipulator is actuated by ultrasonic piezoelectric motors. The highly compact design (D× W× L=11 cm× 8 cm× 18 cm) allows the robot to be positioned in the MRI scanner bore, near the patient’s femoral vein opening. The contribution of this paper lies in the development of an MR-conditional robotic system that clinically required Swan-Ganz catheter movements, including (simultaneous) infinite continuous rotation and translation (i.e., the catheter can perform endless rotation and translation that are not restricted by cable tangling or limited operational motion of the actuators). The MR conditionality of the robotic system is demonstrated in a clinical MR environment. Additionally, the system has been characterized in terms of its force and torque capabilities and verified 100% success rate of tele-intervention within 7 patient specific phantoms. Lastly, the paper reports the intervention of an MRI-guided robot-operated catheter within the water-filled phantoms between the control room and MR scanner.

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Publication Details

Journal
IEEE Transactions on Medical Robotics and Bionics
Published
2025-05-26
DOI
https://doi.org/10.1109/tmrb.2025.3573387
Primary Topic
Advanced MRI Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

MR-Conditional Robotic Cardiac Intervention: Design and Validation in Patient-Specific Phantoms

Enhui Yong, Helge Würdemann, Vivek Muthurangu, Wenlong Gaozhang et al.
IEEE Transactions on Medical Robotics and Bionics
Advanced MRI Techniques and Applications
article

MR-Conditional Robotic Cardiac Intervention: Design and Validation in Patient-Specific Phantoms

Enhui Yong, Helge Würdemann, Vivek Muthurangu, Wenlong Gaozhang, Yaxi Wang
article en

Abstract

Manual hand-held catheterization by clinicians under Magnetic Resonance Imaging (MRI) has become popular for the treatment of cardiovascular diseases such as pulmonary edema and heart failure. However, the limited space of the MRI bore makes it challenging for clinicians to access the opening, and the prolonged operation can cause back injury. To implement MRI-guided robot-assisted catheterization, this paper presents an MR-conditional robotic system for right heart catheterization (MR-RHC). Our 2-degree-of-freedom (DoF) robotic manipulator is actuated by ultrasonic piezoelectric motors. The highly compact design (D× W× L=11 cm× 8 cm× 18 cm) allows the robot to be positioned in the MRI scanner bore, near the patient’s femoral vein opening. The contribution of this paper lies in the development of an MR-conditional robotic system that clinically required Swan-Ganz catheter movements, including (simultaneous) infinite continuous rotation and translation (i.e., the catheter can perform endless rotation and translation that are not restricted by cable tangling or limited operational motion of the actuators). The MR conditionality of the robotic system is demonstrated in a clinical MR environment. Additionally, the system has been characterized in terms of its force and torque capabilities and verified 100% success rate of tele-intervention within 7 patient specific phantoms. Lastly, the paper reports the intervention of an MRI-guided robot-operated catheter within the water-filled phantoms between the control room and MR scanner.

IEEE Transactions on Medical Robotics and BionicsVol. 7(4)
University College London (GB)
Academy of Medical Sciences, China Scholarship Council, Engineering and Physical Sciences Research Council
Openalex Percentile: Top 82%
Advanced MRI Techniques and Applications
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