The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
우리는 식품 검사를 위해 조정된 high-Tc(HTS)-rf-SQUID를 갖춘 초저자기장(ULF) 자기 공명 영상(MRI) 시스템을 개발하고 있습니다. 우리는 이전에 오이 조각에 있는 작은 구멍을 감지할 수 있다고 보고했습니다. 획득된 이미지는 편광 영구 자석을 사용하여 필터링된 역투영 재구성을 기반으로 했습니다. 하지만 이미지의 해상도가 식품 검사에 적합하지 않았고 처리하는 데 오랜 시간이 걸렸습니다. 본 연구의 목적은 이미지 품질을 향상시키고 처리 시간을 단축하는 것입니다. 우리는 전자기 분극 코일(135mT)을 77K로 냉각하기 위한 액체 질소 탱크와 실온 보어로 구성된 특별히 설계된 저온 유지 장치를 제작했습니다. Cu 픽업 코일은 실온 보어에 설치되었으며 샘플에서 NMR 신호를 감지했습니다. 그런 다음 신호는 입력 코일을 통해 HTS SQUID로 전송되었습니다. 적절한 MRI 순서에 따라 k 공간의 64×32 지점에서 공간 주파수 데이터를 얻었습니다. 그런 다음 2D-FFT(Fast Fourier Transformation) 방법을 적용하여 2D-MR 영상을 재구성했습니다. 그 결과, 가장 좁은 너비인 0.5mm의 문자 "TUT"의 깨끗한 물 이미지를 획득하는 데 성공했습니다. 이전 시스템에 비해 이미징 시간도 10배 단축되었습니다.
Saburo TANAKA
Toyohashi University of Technology
Satoshi KAWAGOE
Toyohashi University of Technology
Kazuma DEMACHI
Toyohashi University of Technology
Junichi HATTA
Toyohashi University of Technology
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Saburo TANAKA, Satoshi KAWAGOE, Kazuma DEMACHI, Junichi HATTA, "Ultra-Low Field MRI Food Inspection System Using HTS-SQUID with Flux Transformer" in IEICE TRANSACTIONS on Electronics,
vol. E101-C, no. 8, pp. 680-684, August 2018, doi: 10.1587/transele.E101.C.680.
Abstract: We are developing an Ultra-Low Field (ULF) Magnetic Resonance Imaging (MRI) system with a tuned high-Tc (HTS)-rf-SQUID for food inspection. We previously reported that a small hole in a piece of cucumber can be detected. The acquired image was based on filtered back-projection reconstruction using a polarizing permanent magnet. However the resolution of the image was insufficient for food inspection and took a long time to process. The purpose of this study is to improve image quality and shorten processing time. We constructed a specially designed cryostat, which consists of a liquid nitrogen tank for cooling an electromagnetic polarizing coil (135mT) at 77K and a room temperature bore. A Cu pickup coil was installed at the room temperature bore and detected an NMR signal from a sample. The signal was then transferred to an HTS SQUID via an input coil. Following a proper MRI sequence, spatial frequency data at 64×32 points in k-space were obtained. Then, a 2D-FFT (Fast Fourier Transformation) method was applied to reconstruct the 2D-MR images. As a result, we successfully obtained a clear water image of the characters “TUT”, which contains a narrowest width of 0.5mm. The imaging time was also shortened by a factor of 10 when compared to the previous system.
URL: https://global.ieice.org/en_transactions/electronics/10.1587/transele.E101.C.680/_p
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@ARTICLE{e101-c_8_680,
author={Saburo TANAKA, Satoshi KAWAGOE, Kazuma DEMACHI, Junichi HATTA, },
journal={IEICE TRANSACTIONS on Electronics},
title={Ultra-Low Field MRI Food Inspection System Using HTS-SQUID with Flux Transformer},
year={2018},
volume={E101-C},
number={8},
pages={680-684},
abstract={We are developing an Ultra-Low Field (ULF) Magnetic Resonance Imaging (MRI) system with a tuned high-Tc (HTS)-rf-SQUID for food inspection. We previously reported that a small hole in a piece of cucumber can be detected. The acquired image was based on filtered back-projection reconstruction using a polarizing permanent magnet. However the resolution of the image was insufficient for food inspection and took a long time to process. The purpose of this study is to improve image quality and shorten processing time. We constructed a specially designed cryostat, which consists of a liquid nitrogen tank for cooling an electromagnetic polarizing coil (135mT) at 77K and a room temperature bore. A Cu pickup coil was installed at the room temperature bore and detected an NMR signal from a sample. The signal was then transferred to an HTS SQUID via an input coil. Following a proper MRI sequence, spatial frequency data at 64×32 points in k-space were obtained. Then, a 2D-FFT (Fast Fourier Transformation) method was applied to reconstruct the 2D-MR images. As a result, we successfully obtained a clear water image of the characters “TUT”, which contains a narrowest width of 0.5mm. The imaging time was also shortened by a factor of 10 when compared to the previous system.},
keywords={},
doi={10.1587/transele.E101.C.680},
ISSN={1745-1353},
month={August},}
부
TY - JOUR
TI - Ultra-Low Field MRI Food Inspection System Using HTS-SQUID with Flux Transformer
T2 - IEICE TRANSACTIONS on Electronics
SP - 680
EP - 684
AU - Saburo TANAKA
AU - Satoshi KAWAGOE
AU - Kazuma DEMACHI
AU - Junichi HATTA
PY - 2018
DO - 10.1587/transele.E101.C.680
JO - IEICE TRANSACTIONS on Electronics
SN - 1745-1353
VL - E101-C
IS - 8
JA - IEICE TRANSACTIONS on Electronics
Y1 - August 2018
AB - We are developing an Ultra-Low Field (ULF) Magnetic Resonance Imaging (MRI) system with a tuned high-Tc (HTS)-rf-SQUID for food inspection. We previously reported that a small hole in a piece of cucumber can be detected. The acquired image was based on filtered back-projection reconstruction using a polarizing permanent magnet. However the resolution of the image was insufficient for food inspection and took a long time to process. The purpose of this study is to improve image quality and shorten processing time. We constructed a specially designed cryostat, which consists of a liquid nitrogen tank for cooling an electromagnetic polarizing coil (135mT) at 77K and a room temperature bore. A Cu pickup coil was installed at the room temperature bore and detected an NMR signal from a sample. The signal was then transferred to an HTS SQUID via an input coil. Following a proper MRI sequence, spatial frequency data at 64×32 points in k-space were obtained. Then, a 2D-FFT (Fast Fourier Transformation) method was applied to reconstruct the 2D-MR images. As a result, we successfully obtained a clear water image of the characters “TUT”, which contains a narrowest width of 0.5mm. The imaging time was also shortened by a factor of 10 when compared to the previous system.
ER -