Ultra-low field MRI food inspection system prototype

•We have developed a ULF-MRI system using HTS-SQUID for food inspection.•We developed a compact magnetically shielded box to attenuate environmental noise.•The 2D-MR image was reconstructed from the grid processing data using 2D-FFT method.•The 2D-MR images of a disk-shaped and a multiple cell water...

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Veröffentlicht in:Physica. C, Superconductivity Superconductivity, 2016-11, Vol.530, p.104-108
Hauptverfasser: Kawagoe, Satoshi, Toyota, Hirotomo, Hatta, Junichi, Ariyoshi, Seiichiro, Tanaka, Saburo
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Sprache:eng
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Zusammenfassung:•We have developed a ULF-MRI system using HTS-SQUID for food inspection.•We developed a compact magnetically shielded box to attenuate environmental noise.•The 2D-MR image was reconstructed from the grid processing data using 2D-FFT method.•The 2D-MR images of a disk-shaped and a multiple cell water sample were obtained.•The results showed the possibility of applying the ULF-MRI system to food inspection. We develop an ultra-low field (ULF) magnetic resonance imaging (MRI) system using a high-temperature superconducting quantum interference device (HTS-SQUID) for food inspection. A two-dimensional (2D)-MR image is reconstructed from the grid processing raw data using the 2D fast Fourier transform method. In a previous study, we combined an LC resonator with the ULF-MRI system to improve the detection area of the HTS-SQUID. The sensitivity was improved, but since the experiments were performed in a semi-open magnetically shielded room (MSR), external noise was a problem. In this study, we develop a compact magnetically shielded box (CMSB), which has a small open window for transfer of a pre-polarized sample. Experiments were performed in the CMSB and 2D-MR images were compared with images taken in the semi-open MSR. A clear image of a disk-shaped water sample is obtained, with an outer dimension closer to that of the real sample than in the image taken in the semi-open MSR. Furthermore, the 2D-MR image of a multiple cell water sample is clearly reconstructed. These results show the applicability of the ULF-MRI system in food inspection.
ISSN:0921-4534
1873-2143
DOI:10.1016/j.physc.2016.02.015