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Magnetic Resonance An interactive open-access publication of the Groupement AMPERE
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Preprints
https://doi.org/10.5194/mr-2020-17
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/mr-2020-17
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  22 Jul 2020

22 Jul 2020

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This preprint is currently under review for the journal MR.

Topologically Optimized Magnetic Lens for MR Applications

Sagar Wadhwa1, Mazin Jouda1, Yongbo Deng2, Omar Nassar1, Dario Mager1, and Jan G. Korvink1 Sagar Wadhwa et al.
  • 1Institute of Microstructure Technology, Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany
  • 2State Key Laboratory of Applied Optics (SKLAO), Changchun Institute of Optics, Fine Mechanics and Physics (CIOMP), Chinese Academy of Sciences, Dongnanhu Road 3888, Changchun 130033, China

Abstract. Improvements to the signal-to-noise ratio of magnetic resonance detection leads to a strong reduction in measurement time, yet as a sole optimization goal for resonator design it would be an oversimplification of the problem at hand. Multiple constraints, for example for field homogeneity, and sample shape, suggests the use of numerical optimization to obtain resonator designs that delivers the intended improvement. Here we consider the 2D Lenz lens as a sufficiently broad-band flux transforming interposer between the sample and an RF circuit, as a flexible and an easily manufacturable device family with which to mediate different design requirements. We report on a method to apply topology optimization to determine the optimal layout of a Lenz lens, and demonstrate realisations for both low (45 MHz), and high frequency (500 MHz) NMR.

Sagar Wadhwa et al.

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Sagar Wadhwa et al.

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Latest update: 04 Aug 2020
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Short summary
Magnetic resonance detectors require a high degree of precision to be useful. Their design must e.g. carefully weigh field strength and field homogeneity, to find the best compromise. Here we show that inverse computational design is a viable method to find such a compromise. Apart from the electromagnetic field solution, the simulation program also determines the boundary between insulating and conducting material, and moves the material boundaries around until the compromise is best satisfied.
Magnetic resonance detectors require a high degree of precision to be useful. Their design must...
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