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Segmented RF shield design to minimize eddy currents for low-field Halbach MRI systems.
de Vos, Bart; Remis, Rob; Webb, Andrew.
Affiliation
  • de Vos B; C.J. Gorter MRI center, Radiology, Leiden University Center, Leiden, The Netherlands; Terahertz Sensing, Microelectronics, Delft University of Technology, Delft, The Netherlands. Electronic address: b.devos26.07@gmail.com.
  • Remis R; Terahertz Sensing, Microelectronics, Delft University of Technology, Delft, The Netherlands.
  • Webb A; C.J. Gorter MRI center, Radiology, Leiden University Center, Leiden, The Netherlands; Terahertz Sensing, Microelectronics, Delft University of Technology, Delft, The Netherlands.
J Magn Reson ; 362: 107669, 2024 May.
Article in En | MEDLINE | ID: mdl-38598991
ABSTRACT
MRI systems have a thin conducting layer placed between the gradient and RF coils, this acts as a shield at the RF-frequency, minimizing noise coupled into the experiment, and decreasing the coupling between the RF and gradient coils. Ideally, this layer should be transparent to the gradient fields to reduce eddy currents. In this work the design of such a shield, specifically for low-field point-of-care Halbach based MRI devices, is discussed. A segmented double layer shield is designed and constructed based on eddy current simulations. Subsequently, the performance of the improved shield is compared to a reference shield by measuring the eddy current decay times as well as using noise measurements. A maximum reduction factor of 2.9 in the eddy current decay time is observed. The segmented shield couples in an equivalent amount of noise when compared to the unsegmented reference shield. Turbo spin echo images of a phantom and the brain of a healthy volunteer show improvements in terms of blurring using the segmented shield.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Magn Reson Journal subject: DIAGNOSTICO POR IMAGEM Year: 2024 Document type: Article Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Magn Reson Journal subject: DIAGNOSTICO POR IMAGEM Year: 2024 Document type: Article Country of publication: United States