An Open-Source Software Toolbox for Rapid Radiofrequency Coil Design and Evaluation in MRI.

Area of Science:

• Medical Imaging
• Electromagnetics
• Computational Science

Background:

• MRI image quality is limited by radiofrequency (RF) coil performance.
• Electromagnetic (EM) simulations are crucial for optimizing RF coil design.
• Current simulation tools are slow, memory-intensive, and costly.

Purpose of the Study:

• To introduce a novel, comprehensive, open-source EM simulation tool for MRI RF coil design.
• To address limitations of existing EM simulation software.
• To accelerate and improve the efficiency of RF coil development.

Main Methods:

• Developed a toolbox with four components: a 3D EM solver (WSVIE), a reduced-order model, an automatic circuit co-simulator, and a numerical EM basis generator.
• Utilized tensor decompositions to reduce memory usage and accelerate simulations.
• Enabled patient-specific coil simulations in minutes.

Main Results:

• The reduced-order model WSVIE solver was 70x faster than commercial solvers for a 7T head coil.
• The co-simulator achieved coil tuning, matching, and decoupling in 30 minutes, versus days manually.
• Signal-to-noise ratio (SNR) map differences were less than 15% compared to manual methods.

Conclusions:

• The open-source framework provides fast, memory-efficient, and accurate RF coil array design.
• Enables anatomy-specific RF coil development.
• Represents a powerful, accessible tool for RF coil engineering.