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Gradient coil design

MRI gradient coils must create precise magnetic field maps in 3D, as the accuracy of the subsequent imaging. We use topology optimization to achieve more accurate and robust coil conductor layouts.

The stream function and its contour lines for a linear gradient coil. The gradient strength at the center of the region of interest is 2.276 mT/m/A. Figure 1 
Optimized PatLoc* coil elements. The blue and red lines denote the conductors which are kept after optimization; the dashed black lines are the deleted conductors. The left figure presents the optimal solution with 16 initial conductors and one directional currents; and the right figure shows the optimal solution with 31 initial conductors and two-directional currents. Figure 2 

High order stream function method for the design of a MRI gradient coil

A high-order stream function method is proposed to design a cylindrical gradient coil based on a finite element type surface discretization and numerical integration technique. Figure 1 shows the stream function and its contour lines for a linear gradient coil. The gradient strength at the center of the region of interest is 2.276 mT/m/A.

Parametrical Optimization of a PatLoc* Gradient Coil

* Parallel Acquisition Technique using Localized Gradients

In order to reduce peripheral nerve stimulation and allow for faster switching rates in Magnetic Resonance Imaging, a PatLoc* gradient coil, which uses curvilinear magnetic fields for spatial encoding, was designed and optimized based on a pre-defined basic layout of coil and using the ground structure method. Figure 2 shows optimized PatLoc* coil elements. The blue and red lines denote the conductors which are kept after optimization; the dashed black lines are the deleted conductors. The left figure presents the optimal solution with 16 initial conductors and one directional currents; and the right figure shows the optimal solution with 31 initial conductors and two-directional currents.

Relevant publications

  • F. Jia, Z. Liu, A. M. Welz, M. Zaitsev, J. G. Korvink, and J. Hennig, High order stream function method to automatically design MRI gradient coil, The 17th Scientific Meeting and Exhibition of the ISMRM, Honolulu, 2009
  • Z. Liu, F. Jia, M. Zaitsev, A. M. Welz, G. Schultz, J. G. Korvink, and J. Hennig, Parametrical optimization of a PatLoc gradient coil, The 16th Scientific Meeting and Exhibition of the ISMRM, Toronto, 2008
  • A. M. Welz, M. Zaitsev, G. Schultz, Z. Liu, F. Jia, J. G. Korvink, and J. Hennig, Initial realisation of a multichannel non-linear PatLoc gradient coil, The 16th Scientific Meeting and Exhibition of the ISMRM, Toronto, 2008

Contact person

Feng Jia
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