• 대한전기학회:학술대회논문집
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• 대한전기학회 1995년도 하계학술대회 논문집 A
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• pp.141-143
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• 1995

The design of a 16 tesla/ 45mm bore superconducting magnet is presented. The system consists of an 8.2 tesla(at 4.2K) outer NbTi coil with a bore I.D. of 261mm, a winding O.D. of 453mm and the length of 430mm which is connected in series with a 5.6 tesla(at 4.2K) middle and a 4.7 tesla(at 4.2K) inner insert coil constructed of multifilamentary $Nb_{3}Sn$. The middle and inner insert coil will be reacted after winding. Also, epoxy impregnation will be accomplished at $Nb_{3}Sn$ coils using a low viscosity crack resistant epoxy which is forced into the coil with a series of vacuum and over atmosphere pressure cycle.

• Investigative Magnetic Resonance Imaging
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• 제11권2호
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• pp.95-102
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• 2007

목적: 3.0 Tesla와 같은 고 자장에서 고해상도의 나선주사영상을 얻기 위해서는 주자장을 균일하게 만들어야 한다. 특히, 나선주사영상인 경우 스핀-에코펄스 시퀀스(SE)나 경사자계 에코 펄스 시퀀스(GE)에 비하여 측정 시간이 길기 때문에 주자장이 균일하지 못하다면, off-resonance 현상으로 영상의 blur가 심해진다. 본 연구에서는 빠른 시간 안에 주자장을 균일하게 할 수 있는 고차(Higher-order) shimming방법을 모색했다. 대상 및 방법: 3 Tesla 자기 공명 영상시스템에서 고해상도의 나선주사영상을 얻기에 적합할 정도의 균일한 주자장을 빠른 시간 안에 만들기 위해, 한번의 스캔으로 axial, sagittal, coronal 방향의 불균일도 map을 구할 수 있는 펄스 시퀀스를 제안하였고, 불균일도 map으로부터 spherical harmonics 분석를 통해 shim 코일에 적절한 전류를 인가하여 주자장을 균일하게 만들었다. 결과: 3 Tesla 자기 공명 영상 시스템에서 주자장의 불균일도는 주자장의 크기에 비례하게 된다. 제안한 펄스 시퀀스로 얻은 영상을 이용하여 불균일도 Map을 만들 수 있었고, 이를 spherical harmonics 분석을 하여 2-3회의 고차 shimming으로 불균일한 자장을 균일하게 만들 수 있었다. 제안된 고차 shimming 방법은 전체 영상 영역 뿐만 아니라 선택한 영역에 대해서만 적용도 가능하기 때문에 국부 영역에 대한 고차 shimming이 가능하다. 고차 shimming이 적용되어 주자장이 균일하게 개선된 상태에서 고해상도의 나선주사영상을 얻을 수 있었다. 결론: 3 Tesla 고자장 자기 공명 영상 시스템에서 주자장의 불균일도를 개선하기 위한 펄스 시퀀스와 알고리즘을 통해 주자장의 불균일도를 빠른 시간 안에 개선할 수 있었다. 주자장의 불균일도를 효과적으로 개선함으로써, 고해상도의 나선주사 영상을 얻을 수 있었다.

• Journal of Communications and Networks
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• 제11권6호
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• pp.574-588
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• 2009

Although much research has been conducted in the area of authentication in wireless networks, vehicular ad-hoc networks (VANETs) pose unique challenges, such as real-time constraints, processing limitations, memory constraints, frequently changing senders, requirements for interoperability with existing standards, extensibility and flexibility for future requirements, etc. No currently proposed technique addresses all of the requirements for message and entity authentication in VANETs. After analyzing the requirements for viable VANET message authentication, we propose a modified version of TESLA, TESLA++, which provides the same computationally efficient broadcast authentication as TESLA with reduced memory requirements. To address the range of needs within VANETs we propose a new hybrid authentication mechanism, VANET authentication using signatures and TESLA++ (VAST), that combines the advantages of ECDSA signatures and TESLA++. Elliptic curve digital signature algorithm (ECDSA) signatures provide fast authentication and non-repudiation, but are computationally expensive. TESLA++ prevents memory and computation-based denial of service attacks. We analyze the security of our mechanism and simulate VAST in realistic highway conditions under varying network and vehicular traffic scenarios. Simulation results show that VAST outperforms either signatures or TESLA on its own. Even under heavy loads VAST is able to authenticate 100% of the received messages within 107ms. VANETs use certificates to achieve entity authentication (i.e., validate senders). To reduce certificate bandwidth usage, we use Hu et al.'s strategy of broadcasting certificates at fixed intervals, independent of the arrival of new entities. We propose a new certificate verification strategy that prevents denial of service attacks while requiring zero additional sender overhead. Our analysis shows that these solutions introduce a small delay, but still allow drivers in a worst case scenario over 3 seconds to respond to a dangerous situation.

• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1998년도 추계학술대회
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• pp.301-302
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• 1998

A quadrature RF coil has been developed for 0.3 Tesla permanent MRI systems. The quadrature RF coil is composed of a solenoid coil and a saddle shaped coil. To minimize the coupling ratio between the two coils, each coil is serially connected to a small extra loop. and the small loops are magnetically coupled to each other. By deliberately adjusting relative positions of the small loops, we have decreased the coupling ratio up to -30dB.

• 대한기계학회논문집A
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• 제37권2호
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• pp.153-160
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• 2013

고무 혼합물의 가류특성 및 전자석 장치를 이용하여 범용고무를 기지로 하는 이방성 자기유동 고무 복합재료(MRRC)의 제조가 가능하였다. 철 입자(IP) 함유량의 증가에 따라 MRRC의 자기 투과율은 증가하였으며, 불규칙 배향에 비해 2 tesla로 배향시킨 경우가 1.8~2배 높게 나타났다. 2 tesla로 배향한 CNT만 강화한 MRRC의 자기 투과율은 3.7%로 자기장의 영향이 뚜렷이 확인되었다. IP 90 + CNT 5 & 2 tesla 배향의 MRRC는 압축시험 시 0.49 tesla의 자기장 하에서 압축응력이 기지에 비해 2.1배 증가하였다. IP 함유량 증가에 따라 자기유동(MR) 효과는 증가하였으며, IP 90 & 2 tesla 배향의 경우 20.4%의 MR 효과를 보였다. 시험편 제조 시 및 압축시험 시 부여한 자기력 세기가 MRRC의 압축특성에 미치는 영향이 크다고 판단된다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1996년도 하계학술대회 논문집 A
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• pp.199-201
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• 1996

The design and manufacturing results of a 16 tesla/45mm bore superconducting magnet is presented. The system consists of an 8.2 tesla(at 4.2K) outer NbTi coil with a bore I.D. of 261mm, a winding O.D. of 453mm and the length of 430mm which is connected in series with a 5.6 tesla(at 4.2K) middle and a 4.7 tesla(at 4.2K) inner insert coil constructed of multifilamentary $Nb_3Sn$. The middle and inner insert coil are reacted after winding. Also, epoxy impregnation is accomplished at $Nb_3Sn$ coils using a low viscosity crack resistant epoxy which is forced into the coil with a series of vacuum and over atmosphere pressure cycle.

• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1997년도 추계학술대회
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• pp.517-527
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• 1997

Magnetic Resonance Spectroscopic Imaging is a methodology combining the imaging and spectroscopy. It can provide the spectrum of each areas of image so that one can easily compare the spectrum of one position to another position of the image. In this study, we developed pulse sequence or the spectroscopic imaging method, RF wave forms or the saturation of water signal, computer simulations to validate our method, and confirmed the methodology with phantom experiment. Then we applied the spectroscopic method to human subject and identified a few important metabolites in in vivo. To develope a water saturating RF waveform, we used Shinnar-Le-Roux algorithm and obtained maximum phase RF waveform. With this RF pulse, it could suppress the water signal to 1:1000. The magnet is shimmed to under 1.0ppm with auto-shimming technique. The saturation bandwidth is 80Hz(2ppm). The water and fat seperation is 3.3ppm(about 140Hz at 1 Tesla magnet), the bandwidth is enough to resolve the difference. But we are more concerned about the narrow window in between the two peaks, in which the small quantity of metabolites reside. We performed the computer simulation and phantom experiments in 8*8 matrix form and showed good agreement in the image and spectrum. Finally we applied spectroscopic imaging to the brain of human subject. Only the lipid signal was shown in the periphery region which agrees with the at distribution in human head surface area. The spectrum inside the brain shows the important metabolites such as NAA, Cr/PCr, Choline. We here have shown the spectroscopic imaging which is normally done above 1.5 Tesla machine can be performed in the 1 Tesla Magnetic Resonance Imaging Unit.

• 대한인간공학회지
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• 제24권4호
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• pp.47-53
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• 2005

This study aim to investigate the effects of supply of oxygen enhances cerebral activation through increased activation in the brain and using a 3 Tesla fMRI system. Five volunteers (right handed, average age of 21.3) were selected as subjects for this study. Oxygen supply equipment that provides 30% oxygen at a constant rate of 15L/min was given using face mask. A 3 Tesla fMRI system using the EPI BOLD technique, and three-pulse sequence technique get of the true axial planes scanned brain images. The author can get the perfusion images of the brain by oxygen inhalation with susceptibility contrast EPI sequence at the volunteers. Complex movement consisted of a finger task in which subjects flexed and extended all fingers repeatedly in union, without the fingers touching each other. Both task consisted of 96 phases including 6 activations and rests contents. Post-processing was done on MRDx software program by using cross-correlation method. The result shows that there was an improvement in performance and also increased activation in several areas in the oxygen method. These finding demonstrates that while performing cognitive tasks, oxygen administration was due to increase of cerebral activation.

• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1998년도 추계학술대회
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• pp.98-99
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• 1998

In this paper, an interleaved spiral scan imaging is investigated for an ultra fast MR imaging. The interleaved spiral technique has relative advantage over single shot spiral imaging with improved resolution and less inhomogeneity-related artifact. An improved reconstruction algorithm is devised with DC-offset correction. Some preliminary experimental results are shown at 1.0 Tesla and 3.0 Tesla whole body MRI system.

• 한국의학물리학회지:의학물리
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• 제32권4호
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• pp.172-178
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• 2021

Purpose: This study aimed to develop a deep learning architecture combining two task models to generate synthetic computed tomography (sCT) images from low-tesla magnetic resonance (MR) images to improve metallic marker visibility. Methods: Twenty-three patients with cervical cancer treated with intracavitary radiotherapy (ICR) were retrospectively enrolled, and images were acquired using both a computed tomography (CT) scanner and a low-tesla MR machine. The CT images were aligned to the corresponding MR images using a deformable registration, and the metallic dummy source markers were delineated using threshold-based segmentation followed by manual modification. The deformed CT (dCT), MR, and segmentation mask pairs were used for training and testing. The sCT generation model has a cascaded three-dimensional (3D) U-Net-based architecture that converts MR images to CT images and segments the metallic marker. The performance of the model was evaluated with intensity-based comparison metrics. Results: The proposed model with segmentation loss outperformed the 3D U-Net in terms of errors between the sCT and dCT. The structural similarity score difference was not significant. Conclusions: Our study shows the two-task-based deep learning models for generating the sCT images using low-tesla MR images for 3D ICR. This approach will be useful to the MR-only workflow in high-dose-rate brachytherapy.