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Published on: June 9, 2016
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Parametric Design of a 3D-Printed Removable Common-Mode Trap for Magnetic Resonance Imaging.
Folk W Narongrit1, Thejas Vishnu Ramesh2, Joseph V Rispoli3
1Elmore Family School of Electrical and Computer Engineering, Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA.
Summary
This study introduces a parametric design method for floating cable traps used in MRI. This optimization streamlines the design process, enabling efficient 3D printing and robust performance in reducing common-mode currents.
Area of Science:
- Medical Imaging
- Electrical Engineering
- Materials Science
Background:
- Radiofrequency (RF) coils are essential for transmitting and receiving signals in Magnetic Resonance Imaging (MRI).
- Cable traps mitigate common-mode currents in coaxial cable shields, enhancing MRI image quality and patient safety by reducing RF-induced heating.
- Traditional cable traps offer limited design flexibility due to their integrated nature with coaxial cables.
Purpose of the Study:
- To optimize the design process of floating cable traps for MRI applications.
- To introduce a parametric design methodology for enhanced flexibility and efficiency.
- To enable direct 3D printing of floating cable traps based on input parameters.
Main Methods:
- Implementation of parametric design methodologies for floating cable traps.
- Utilizing 3D modeling and printing for rapid prototyping and fabrication.
- Characterization of the cable trap's performance in attenuating common-mode currents.
Main Results:
- The proposed parametric design methodology significantly optimizes the floating cable trap design process.
- The developed floating cable trap achieved a current attenuation of -48 dB in coaxial shields.
- The design demonstrates robustness and high performance in practical MRI environments.
Conclusions:
- Parametric design offers a flexible and efficient approach to developing floating cable traps for MRI.
- The optimized floating cable traps exhibit excellent performance in suppressing common-mode currents.
- This methodology facilitates rapid iteration and customization for improved MRI systems.

