• 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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• 제8권5호
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• pp.598-606
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• 2002

현재 병원에서 구축되어 사용되는 PACS 시스템은 대용량의 데이터를 취급하고, 의료 영상 정보의 관리도 서버에 집중되어 이루어짐으로 서버의 부하가 크다. 의료 영상은 DICOM 표준을 따라 만들어지고 운용되는데 크기가 크고 이동 빈도가 높은 의료 영상 데이터를 효율적으로 관리하기 위해 의료 정보의 분산된 관리 체계를 제시한다. 의료 정보의 분산 관리 및 전송은 네트워크의 부하와 서버의 부하를 줄여서 효율적 자원의 사용과 서버 시스템의 성능 향상이라는 효과를 가져올 것이다. DICOM PC to PC 컴포넌트는 요청한 질의를 처리하는 서비스 매니저와 파일의 전송을 담당하는 커뮤니케이션 매니저, 그리고 데이터의 저장과 시스템 동작을 담당하는 DICOM 매니저로 구성되어 있다. 각 컴포넌트는 에이전트로 구현이 되었다. 각 컴포넌트 간의 메시지 통신은 에이전트 통신 언어로 코드화된 XML 문서를 사용한다. 본 시스템은 기존의 DICOM 서버에서 요청 받은 질의를 수행하여 중앙집중적으로 처리했던 파일관리와 전송 방법을 각각의 PC에서 파일 관리 및 전송을 분산적으로 처리함으로써 서버가 처리하던 일의 과중을 분산 시켜서 의료 영상 전송과 관리에의 효율을 증대시킨다.

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 2007년도 하계학술대회 논문집 Vol.8
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• pp.330-330
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• 2007

Polycrystalline mercuric iodide $HgI_2$) films are being developed as a new detector technology for digital x-ray imaging. The $HgI_2$ is generally vacuum deposited by physical vapor deposition (PVD) process. But the PVD thick deposition has been caused any instability in the biasing due to any defects or cracks. In this work we present a new particle-in-binder (PIB) methodologies used for the $HgI_2$ thick films. These growth techniques can be easily extended to produce much larger film areas. This paper, for the first time, presents results and comparison of polycrystalline $HgI_2$ films derived by various PIB methods. We investigated the structural and morphological properties of the films using X-ray diffraction (XRD) and scanning electron microscopy (SEM) analysis. The films were characterized with respect to their electrical properties and in response to x-ray photons. Physical and electrical results were also compared between conventional polycrystalline PVD and our detectors. Leakage current as low as $350\;pA/cm^2$ at the bias voltage of ~ 200 V has been observed. And high sensitivity and good linearity in the response to x-rays was obtained in the film derived by PIB sedimentation method. Our future efforts will concentrate on optimization of film growth techniques for uniform large area deposition on image readout arrays.

• Journal of Korean Neurosurgical Society
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• 제60권4호
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• pp.441-447
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• 2017

Objective : Computed tomography (CT)-based method of three dimensional (3D) analysis ($MIMICS^{(R)}$, Materialise, Leuven, Belgium) is reported as very useful software for evaluation of OPLL, but its reliability and reproducibility are obscure. This study was conducted to evaluate the accuracy of $MIMICS^{(R)}$ system, and inter- and intra-observer reliability in the measurement of OPLL. Methods : Three neurosurgeons independently analyzed the randomly selected 10 OPLL cases with medical image processing software ($MIMICS^{(R)}$) which create 3D model with Digital Imaging and Communication in Medicine (DICOM) data from CT images after brief explanation was given to examiners before the image construction steps. To assess the reliability of inter- and intra-examiner intraclass correlation coefficient (ICC), 3 examiners measured 4 parameters (volume, length, width, and length) in 10 cases 2 times with 1-week interval. Results : The inter-examiner ICCs among 3 examiners were 0.996 (95% confidence interval [CI], 0.987-0.999) for volume measurement, 0.973 (95% CI, 0.907-0.978) for thickness, 0.969 (95% CI, 0.895-0.993) for width, and 0.995 (95% CI, 0.983-0.999) for length. The intra-examiner ICCs were 0.994 (range, 0.991-0.996) for volume, 0.996 (range, 0.944-0.998) for length, 0.930 (range, 0.873-0.947) for width, and 0.987 (range, 0.985-0.995) for length. Conclusion : The medical image processing software ($MIMICS^{(R)}$) provided detailed quantification OPLL volume with minimal error of inter- and intra-observer reliability in the measurement of OPLL.

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 2004년도 추계학술대회 논문집 Vol.17
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• pp.494-497
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• 2004

본 연구는 방사선 영상센서 적용을 위한 $HgI_2$ 필름의 특성 평가에 관한 것으로서 X-선 조사조건별 인가전압에 따른 검출신호 특성을 조사하였다. 기존의 $HgI_2$ 검출기의 경우 신호량이 크다는 장점이 있으나 노이즈의 양이 크다. 이에 대한 해결책으로 보호층을 삽입하나 이 경우 X-선 조사에 따른 시간 응답 특성이 있어서 전하트랩현상(tailing effect)에 의한 영향이 크게 존재하였다. 따라서 본 논문에서는 이러한 문제점을 해결하고자 보호층으로써 a-Se 을 삽입하여 기존의 $HgI_2$ 검출기에서 사용되어지는 parlyene이 삽입된 검출기와 전기적 특성을 측정, 비교해보고자 한다. 제작방식으로는 대면적 제작이 용이한 스크린 프린팅 방식을 이용하여 두께 $140\;{\mu}m$와 $3\;cm\;{\times}\;2\;cm$ 면적으로 제조하였다. 측정결과, a-Se을 보호층으로 사용한 $HgI_2$ 필름이 민감도는 거의 비슷하나 누설전류가 안정화 되는데 걸리는 감소시간(decay time)이 parlyene을 사용한 구조에 비해 훨씬 낮았다. 또한 X선에 대한 민감도는 기존의 a-Se에 비해 월등히 높아 적은 방사선 조사량(radiation dose)에서도 신호검출이 가능하여 저선량이 요구되는 방사선 투시촬영(digital fluoroscopy) 적용에 유용할 것으로 기대된다.

• 대한원격탐사학회지
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• 제26권3호
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• pp.347-359
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• 2010

Ortho-photos provide valuable spatial and spectral information for various Geographic Information System (GIS) and mapping applications. The absence of relief displacement and the uniform scale in ortho-photos enable interested users to measure distances, compute areas, derive geographic locations, and quantify changes. Differential rectification has traditionally been used for ortho-photo generation. However, differential rectification produces serious problems (in the form of ghost images) when dealing with large scale imagery over urban areas. To avoid these artifacts, true ortho-photo generation techniques have been devised to remove ghost images through visibility analysis and occlusion detection. So far, the Z-buffer method has been one of the most popular methods for true ortho-photo generation. However, it is quite sensitive to the relationship between the cell size of the Digital Surface Model (DSM) and the Ground Sampling Distance (GSD) of the imaging sensor. Another critical issue of true ortho-photo generation using high resolution satellite imagery is the scan line search. In other words, the perspective center corresponding to each ground point should be identified since we are dealing with a line camera. This paper introduces alternative methodology for true ortho-photo generation that circumvents the drawbacks of the Z-buffer technique and the existing scan line search methods. The experiments using real data are carried out while comparing the performance of the proposed and the existing methods through qualitative and quantitative evaluations and computational efficiency. The experimental analysis proved that the proposed method provided the best success ratio of the occlusion detection and had reasonable processing time compared to all other true ortho-photo generation methods tested in this paper.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2015년도 학술발표회
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• pp.470-470
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• 2015

본 연구의 목적은 위성영상 기반의 SEBAL(Surface Energy Balance Algorithm for Land) 모형과 SWAT(Soil and Water Assessment Tool) 수문모형을 용담댐 유역($922.3km^2$)에 적용하여 증발산량을 산정하고 모형 간 공간 증발산량의 비교를 통해 각 모형의 적용성을 평가하는데 있다. 이를 위해 SEBAL모형의 입력자료로 Terra MODIS(Moderate Resolution Imaging Spectrometer) Product 중 Normalized Distribution Vegetation Index(NDVI), Albedo 영상을 2012년부터 2013년까지 월단위로 구축하고, 일단위의 Land Surface Temperature(LST) 영상을 구축하였다. 지형자료로는 Digital Elevation Model(DEM)과 Land use를 구축하였으며 SEBAL 모형의 구동을 위한 위성영상 및 지형자료는 500 m의 공간해상도로 재구축하였다. SWAT 모형의 모의를 위해 기상 및 유량 자료를 2000년부터 2013년까지 일단위로 구축하였고, DEM, Land use, 토양도의 지형자료를 30 m의 공간해상도로 구축하였다. SWAT 모형의 유출 검보정 후 수위관측소 지점에서 평균 $R^2$를 산정한 결과 도치(0.80), 동향(0.72), 석정(0.64), 주천(0.80), 천천(0.80), 용담댐(0.72)로 높은 상관성을 나타냈으며, 유출 검보정 후 SWAT 모형의 증발산량 모의 결과를 바탕으로 SEBAL 모형과의 공간 증발산량을 비교하였다. 두 모형의 증발산량은 SEBAL 모형의 경우 지형에 따라 SWAT 모형은 토양 특성에 따라 분포하는 경향이 다르게 나타났다. SEBAL 모형은 주로 저지대에서 증발산량이 높게 산정되며 고지대로 갈수록 감소하여 증발산량이 지형의 고저차에 따라 분포하는 모습을 보였다. SWAT 모형은 토양 특성에 따라 증발산량이 분포하며 유역 내에서 뚜렷한 차이를 나타내지는 않았다. 월별 총 증발산량은 SWAT 모형의 경우 7~8월에 약 90 mm/mon로 가장 높게 나타나고 1~2월은 0 mm/mon로 계절별 변화폭이 컸으나, SEBAL 모형의 경우 5~6월에 증발산량이 약 60 mm/mon로 가장 높게 나타났고 계절별 변화 폭이 SWAT 모형에 비해 적은 모습을 보였다. 이는 위성영상을 기반으로 하는 SEBAL 모형의 특성상 장마 기간에 해당하는 7~8월은 구름으로 인해 일사량이 적게 계산되고, 그 결과 5~6월에 비해 증발산량이 작게 산정되는 것으로 판단된다.

• 고려인삼학회:학술대회논문집
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• 고려인삼학회 2002년도 학술대회지
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• pp.531-544
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• 2002

Ginseng is the best known and most popular herbal medicine used worldwide. Ameliorating effects of ginseng were observed on the models of scopolamine-induced, aged or hippocampal lesioned learning and memory deficits. Further beneficial effects of ginseng were observed on neuronal cell death associated with ischemia or glutamate toxicity. In spite of these beneficial effects of ginseng on the CNS, little scientific evidence shows at the cellular level. In the present study, we have employed cultures of rat hippocampal neurons and examined the direct modulation of ginseng on NMDA receptor-induced changes in $[Ca^{2+}]_i$ and -gated currents using fura-2-based digital imaging and perforated whole-cell patch-clamp techniques, respectively. We found that ginseng total saponins inhibited NMDA-induced but less effectively glutamate-induced increase in $[Ca^{2+}]_i$ Ginseng total saponins also modulated $Ca^{2+}$ transients evoked by depolarization with 50 mM KCI along with its own effects on $[Ca^{2+}]_i$. Among ginsenosides tested, ginsenoside $Rg_3$ was found to be the most potent component for ginseng actions on NMDA receptors. Furthermore, we examined the inhibitory effects ofbiotransformants of ginsenosides on NMDA receptor using purified stereoisomers of ginsenosides. 20(S)-ginsenoside $Rg_3$ and its metabolite, 20(S)-ginsenoside $Rh_3$, produced the strongest inhibition while 20(S)-ginsenoside $Rh_1$ and Compound K produced the moderate inhibition on NMDA-induced increase in $[Ca^{2+}]_i$. The data obtained suggest that the inhibition of NMDA receptors by ginseng, in particular by 20(S)-ginsenoside $Rg_3$ and its metabolite, 20(S)-ginsenoside $Rh_2$, could be one of mechanisms for ginsengmediated neuroprotective actions.

• 대한한방부인과학회지
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• 제30권3호
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• pp.65-78
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• 2017

Objectives: This study was aimed to develop a guideline for the application of diagnostic devices for menopausal syndrome. Methods: We conducted a literature review and a questionnaire survey on diagnostic devices including Digital Infrared Thermal Imaging (DITI), pulse diagnosis device, Heart Rate Variability (HRV), body composition analyzer, Yangdorak. Results: We retrieved some clinical values for usage of devices from the articles. Especially, DITI was useful to identify the pattern of body temperature distribution. The respondents answered that they diagnosed menopausal syndrome by using body composition analyzer (62.3%), DITI (60%), HRV (60%), pulse diagnosis device (45.7%), Yangdorak (34.3%). The respondents answered that they don't use diagnostic devices when they diagnosed menopausal syndrome because of absence of device, cost, difficulty of interpretation, substitution of another diagnostic method. After experts survey, it was recommended to use DITI, HRV, body composition analyzer. There was no consensus on the use of pulse diagnosis device, Yangdorak in diagnosing menopausal syndrome. Conclusions: We developed a guideline for the application of diagnostic devices for menopausal syndrome.

• Imaging Science in Dentistry
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• 제51권3호
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• pp.299-306
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• 2021

Purpose: This study aimed to propose a fully automatic landmark identification model based on a deep learning algorithm using real clinical data and to verify its accuracy considering inter-examiner variability. Materials and Methods: In total, 950 lateral cephalometric images from Yonsei Dental Hospital were used. Two calibrated examiners manually identified the 13 most important landmarks to set as references. The proposed deep learning model has a 2-step structure-a region of interest machine and a detection machine-each consisting of 8 convolution layers, 5 pooling layers, and 2 fully connected layers. The distance errors of detection between 2 examiners were used as a clinically acceptable range for performance evaluation. Results: The 13 landmarks were automatically detected using the proposed model. Inter-examiner agreement for all landmarks indicated excellent reliability based on the 95% confidence interval. The average clinically acceptable range for all 13 landmarks was 1.24 mm. The mean radial error between the reference values assigned by 1 expert and the proposed model was 1.84 mm, exhibiting a successful detection rate of 36.1%. The A-point, the incisal tip of the maxillary and mandibular incisors, and ANS showed lower mean radial error than the calibrated expert variability. Conclusion: This experiment demonstrated that the proposed deep learning model can perform fully automatic identification of cephalometric landmarks and achieve better results than examiners for some landmarks. It is meaningful to consider between-examiner variability for clinical applicability when evaluating the performance of deep learning methods in cephalometric landmark identification.

• Journal of Chest Surgery
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• 제51권6호
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• pp.390-394
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• 2018

Background: The nonsurgical treatment of chest wall deformity by a vacuum bell or external brace is gradual, with correction taking place over months. Monitoring the progress of nonsurgical treatment of chest wall deformity has relied on the ancient methods of measuring the depth of the excavatum and the protrusion of the carinatum. Patients, who are often adolescent, may become discouraged and abandon treatment. Methods: Optical scanning was utilized before and after the intervention to assess the effectiveness of treatment. The device measured the change in chest shape at each visit. In this pilot study, patients were included if they were willing to undergo scanning before and after treatment. Both surgical and nonsurgical treatment results were assessed. Results: Scanning was successful in 7 patients. Optical scanning allowed a visually clear, precise assessment of treatment, whether by operation, vacuum bell (for pectus excavatum), or external compression brace (for pectus carinatum). Millimeter-scale differences were identified and presented graphically to patients and families. Conclusion: Optical scanning with the digital subtraction of images obtained months apart allows a comparison of chest shape before and after treatment. For nonsurgical, gradual methods, this allows the patient to more easily appreciate progress. We speculate that this will increase adherence to these methods in adolescent patients.