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- 저자 : 오주영(Joo Young Oh) (검색결과 77 건)
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표준계수 측정 시 기하학적 요인이 방사성 요오드 갑상선 섭취율에 미치는 영향
오주영,김정열,오기백,오신현,김재삼,이창호,박훈희,Oh, Joo Young,Kim, Jung Yul,Oh, Ki Baek,Oh, Shin Hyun,Kim, Jae Sam,Lee, Chang Ho,Park, Hoon-Hee 대한핵의학기술학회 2013 핵의학 기술 Vol.17 No.1
Objectives: It is certain that Radioactive iodine thyroid uptake(RAIU) rate should be measured with the standard counts considering the thyroid gland depth in enlarged thyroid patients for the variation from geometric factors. The purpose of this paper is to consider the effects of geometric factors according to detector to source distance and the effective thyroid depth on RAIU rate with experiment test. Materials and Methods: I-131 370 kBq ($10{\mu}Ci$) point source was measured by Captus-3000 thyroid uptake system (Capintec, NJ, USA) with a change Detector-Source Distance from 20 cm to 30 cm at an interval of 1 cm. And we changed the Neck phantom surface-Source Depth in the phantom with 1 cm, 2 cm, 5 cm using the neck phantom in order to reproduce the effective thyroid depth. Results: Every experimental group follows power curve as inverse square curve ($$R2{\geq_-}0.915$$). The average count rates in the case not using a phantom and the every case applied the effective thyroid depth using a phantom was not identical each other. There was significant fluctuations upon the effective thyroid depths applied the effective thyroid depth above 1 cm in $364.4 keV{\pm}10%$ energy ROI (p<0.01). There was not significant difference between the count rates of 1 cm and 2 cm in $364.4keV{\pm}20%$ and $637.1keV{\pm}6.2%$ (p=0.354, p=0.397). In assumed RAIU rate from regression equation, $364.4keV{\pm}20%$ was lower difference than $364.4keV{\pm}10%$ as 6.42% and 5.09% per 1 cm. Every change of count rate upon depth appears decreased line on Linear Regression, but the case of $284.3keV{\pm}10%$ increased only. And also, The graphs of coefficient of variation upon depth increased as straight line on every experimental group. Conclusion: The result appears that application of $364.4keV{\pm}20%$ energy ROI is more suitable for reducing error from the effective thyroid depth. And also, we can estimate the error of 20 cm should be highly reduced than 30 cm for Inverse Square Law. Therefore, If there is not information of the thyroid depth, it is considered that the error from thyroid depth can reduce through set up energy ROIs for $364.4keV{\pm}20%$, and increase Detector-Source Distances.
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Recallgraphy : 타일드 디스플레이 내 모자이크 기법을 중심으로한 그룹 단위 사진감상 시스템
오주영(Joo Young Oh),원광연(Kwangyun Wohn) 한국HCI학회 2017 한국HCI학회 학술대회 Vol.2017 No.2
본 연구에서는 그룹의 사용자가 제공하는 방대한 양의 사진데이터를 타일드 디스플레이를 통해 구현한 Recallgraphy: 모자이크 이미지 브라우징 시스템을 제안 한다. 또한, 사용자 설문을 통해 인터랙션 모델을 도출하여 타일드 디스플레이 내 사용에서의 HCI 경험을 확장 및 브라우징의 디자인에서의 방법론적 가이드라인을 제시하고자 한다. In this paper, we propose a Recallgraphy: Mosaic image browsing system that implements a vast amount of photographic data provided by users of the group through tiled display. We also extend the HCI experience in use within the tiled display by deriving the interaction model through the user questionnaire and propose methodological guidelines in the design of browsing.
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O/W형 microemulsion의 생성영역과 입자크기 및 안정성에 관한 연구
오주영 ( Joo-young Oh ),한창규 ( Chang-gew Han ),조춘구 ( Choon-ku Zhoh ) 대한화장품학회 1995 대한화장품학회지 Vol.21 No.2
This study was investigated to search for the effects of the structure of each component in four-component O/W microemulsion system on its formation region, droplet size and stablilty. The results was that the more number of OH site, the shorter carbon chain length of polyol, the larger formation region of microemulsion was showed. The small microemulsion droplet was obtained on condition that the polatry of oil was large and carbon chain length of hydrophobic group of surfactant was long. In using satrated hydrocarbon (such as liquid paraffin, squalane) as dispersed phase, the stability of microemulsion was better than aromatic oil phase.
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ACT-R 모델 및 물체 인식 기반 영화의 시각적 역동성 측정
오주영(Joo Young Oh),이병주(Byungjoo Lee) 한국HCI학회 2019 한국HCI학회 학술대회 Vol.2019 No.2
영화는 시간성을 가진 이야기 전달 매체이다. 영화는 각 프레임의 연결을 통해 내러티브를 가지며, 시청자의 효과적인 감상을 위해 미장센, 몽타주 등의 다양한 영화기법을 쓴다. 여러 프레임이 만들어내는 영화의 시각적인 역동성은 기존에는 사람의 시선움직임을 통해 정량적으로 분석되어왔다. 이 연구에서는 영화의 시각적 역동성을 컴퓨터를 통해 자동으로 측정하는 모델을 제안한다. 모델은 인지 아키텍처인 ACT-R 로 구현하였으며 영화 내 시선 움직임은 인터페이스를 통해 확인할 수 있다. 이를 통해 다양한 영상매체에서의 시선의 이동 및 인지적 오버로드를 제안된 모델로 사전에 검토할 수 있도록 하는 것을 목표로 한다.
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지게차 자동변속기의 클러치 직접 제어 유압 시스템 모델링 및 해석
오주영(Joo Young Oh),이근호(Guen Ho Lee),송창섭(Chang Sub Song) Korean Society for Precision Engineering 2008 한국정밀공학회지 Vol.26 No.1
An automatic transmission of construction equipment is controlled by hydraulic and electronic system for doing in various functions like as shifting and operation. The shifting is operated by the engaged and disengaged clutch motion from hydraulic power On the shifting process, suitable pressure control to the clutch is required for smooth shifting. Hydraulic control system in the automatic transmission is divided by the pilot control type and the direct control type greatly. The direct control type has an advantage than the pilot control type. Because the structure is simple, the design and the manufacture are having less troubles and the system can be maximized precision pressure control. However, the excellent performance proportional control valve should be used to achieve proper control-ability. In this study, the dynamic analysis model composing the automatic transmission and hydraulic system for forklift truck is presented to simulate the characteristics of hydraulic system about the direct control type. That model is verified the validity compared the results of the testing examination. Parameters of input signal are analyzed to reduce the output torque according to input control signal is affected in shifting characteristic.
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게이트심장혈액풀검사에서 딥러닝 기반 좌심실 영역 분할방법의 유용성 평가
오주영(Joo-Young Oh),정의환(Eui-Hwan Jeong),이주영(Joo-Young Lee),박훈희(Hoon-Hee Park) 대한방사선과학회(구 대한방사선기술학회) 2022 방사선기술과학 Vol.45 No.2
The Cardiac Gated Blood Pool (GBP) scintigram, a nuclear medicine imaging, calculates the left ventricular Ejection Fraction (EF) by segmenting the left ventricle from the heart. However, in order to accurately segment the substructure of the heart, specialized knowledge of cardiac anatomy is required, and depending on the expert s processing, there may be a problem in which the left ventricular EF is calculated differently. In this study, using the DeepLabV3 architecture, GBP images were trained on 93 training data with a ResNet-50 backbone. Afterwards, the trained model was applied to 23 separate test sets of GBP to evaluate the reproducibility of the region of interest and left ventricular EF. Pixel accuracy, dice coefficient, and IoU for the region of interest were 99.32±0.20, 94.65±1.45, 89.89±2.62(%) at the diastolic phase, and 99.26±0.34, 90.16±4.19, and 82.33±6.69(%) at the systolic phase, respectively. Left ventricular EF was calculated to be an average of 60.37±7.32% in the ROI set by humans and 58.68±7.22% in the ROI set by the deep learning segmentation model. (p<0.05) The automated segmentation method using deep learning presented in this study similarly predicts the average human-set ROI and left ventricular EF when a random GBP image is an input. If the automatic segmentation method is developed and applied to the functional examination method that needs to set ROI in the field of cardiac scintigram in nuclear medicine in the future, it is expected to greatly contribute to improving the efficiency and accuracy of processing and analysis by nuclear medicine specialists.
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