• Transactions of the KSME C: Technology and Education
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• v.2 no.2
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• pp.73-80
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• 2014

Drug delivery in human upper airway was studied by the numerical simulation of oral airflow. We created an anatomically accurate upper airway model from CT scan data by using a medical image processing software (Mimics). The upper airway was composed of oral cavity, pharynx, larynx, trachea, and second generations of branches. Thin sliced CT data and meticulous refinement of model surface under the ENT doctor's advice provided more sophisticated nasal cavity models. With this 3D upper airway models, numerical simulation was conducted by ANSYS/FLUENT. The steady inspiratory airflows in that model was solved numerically for the case of flow rate of 250 mL/s with drug-laden spray(Q= 20, 40, 60 mL/s). Optimal parameters for mechanical drug aerosol targeting of predetermined areas was to be computed, for a given representative upper airways. From numerical flow visualization results, as flow-rate of drug-laden spray increases, the drag spray residue in oral cavity was increased and the distribution of drug spray in trachea and branches became more homogeneous.

• Journal of the Korea Convergence Society
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• v.8 no.9
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• pp.211-216
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• 2017

The purpose of this study is to evaluate the usefulness of a newly fusion model designed cloak shield to reduce the radiation exposure of the assistant during CT(computed tomography) of severely injured patient. Radiation dose was measured in the heart, both axillary and thyroid areas using newly designed cloak shield and existing shield with head phantom and human phantom under the same conditions as brain vascular CT scan. The newly designed cloak shield was measured higher for radiation shielding rate than the existing shields, 61.9 % for heart, 46.2 % for left axillary, 69.8 % for right axillary and 71.1 % for thyroid gland, respectively. a newly developed fusion model of cloak shields are useful for reducing radiation exposure. It is expected to make a significant contribution to reduction of radiation exposure.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.36 no.5
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• pp.323-330
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• 2023

The development of an analysis model that reflects the microstructure characteristics of polyvinyl alcohol (PVA) fiber-reinforced cementitious composites, which have a highly complex microstructure, enables synergy between efficient material design and real experiments. PVA fiber orientations are an important factor that influences the mechanical behavior of PVA fiber-reinforced cementitious composites. Owing to the difficulty in distinguishing the gray level value obtained from micro-CT images of PVA fibers from adjacent phases, fiber segmentation is time-consuming work. In this study, a micro-CT test with a voxel size of 0.65 ㎛³ was performed to investigate the three-dimensional distribution of fibers. To segment the fibers and generate training data, histogram, morphology, and gradient-based phase-segmentation methods were used. A U-net model was proposed to segment fibers from micro-CT images of PVA fiber-reinforced cementitious composites. Data augmentation was applied to increase the accuracy of the training, using a total of 1024 images as training data. The performance of the model was evaluated using accuracy, precision, recall, and F1 score. The trained model achieved a high fiber segmentation performance and efficiency, and the approach can be applied to other specimens as well.

• Journal of Oriental Neuropsychiatry
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• v.15 no.2
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• pp.103-118
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• 2004

Objective : This experiment was designed to investigate the effect of KongJin-dan(KJD) on the Alzheimer's disease. Method : The effects of KJD on $LI-1{\beta}$, IL-6, $TNF-{\alpha}$, amyloid precursor proteins(APP), acetylcholinesterase(AChE), glial fibrillary acidic protein(GFAP) mRNA of PC-12 and THP-1 cell treated by CT105 and AChE activity, APP production of PC-12 cell lysate treated by CT105 were investigated, respectively. Results : 1. KJD suppressed $LI-1{\beta}$, IL-6, $TNF-{\alpha}$, APP, AChE, GFAP mRNA in THP-1 and PC-12 cell treated by CT105. 2. KJD suppressed AChE activity and production of APP significantly in cell lysate of PC-12 cell treated by CT105. Conclusions : This study shows that KJD might be usefully applied for prevention and treatment of Alzheimer's disease.

• Journal of Physiology & Pathology in Korean Medicine
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• v.20 no.2
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• pp.394-403
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• 2006

This research investigated the effect of the CMT and MCMT on Alzheimer's disease. The effects of the CMT and MCMT extract on expression of proinflammatory cytokine($IL-1{\beta}$, IL-6, $TNF-{\alpha}$) in the THP-1 cell; amyloid precursor proteins(APP), acetylcholinesterase(AChE) mRNA of PC-12 cells treated with CT105; the AChE activity and the APP production of PC-12 cell lysate treated with CT105 were investigated. The CMT and MCMT extract suppressed overexpression of $IL-1{\beta}$, IL-6, $TNF-{\alpha}$ in the THP-1 cell treated by LPS; the expression of APP, AChE mRNA in PC-12 cells treated with CT105; the AChE activity and the production of APP in PC-12 cell lysate treated with CT105 significantly. This study suggest that CMT and MCMT may be effective for the prevention and treatment of Alzheimer's disease.

• Journal of Physiology & Pathology in Korean Medicine
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• v.20 no.1
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• pp.138-148
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• 2006

This research investigated the effect of the CMT and SCMT on Alzheimer's disease. The effects of the CMT and SCMT extract on expression of proinflammatory cytokine(IL-$1{\beta}$, IL-6, TNF-$\alpha$) in the THP-1 cell; amyloid precursor proteins(APP), acetylcholinesterase(AChE) mRNA of PC-12 cells treated with CT105; the AChE activity and the APP production of PC-12 cell lysate treated with CT105 were investigated. The CMT and SCMT extract suppressed overexpression of IL-$1{\beta}$, IL-6, TNF-$\alpha$ in the THP-1 cell treated dy LPS; the expression of APP, AChE mRNA in PC-12 cells treated with CT105; the AChE activity and the production of APP in PC-12 cell Iysate treated with CT105 significantly. This study suggest that CMT and SCMT may be effective for the prevention and treatment of Alzheimer's disease.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.35 no.10
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• pp.1237-1242
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• 2011

The A detailed 3D finite-element analysis model of a human foot has been developed by converting CT scan images to 3D CAD models in order to analyze the distribution of plantar pressure. The 3D foot model includes all muscles, bones, and skin. On the basis of this model and the pressure distribution results, shoes for diabetes patients, which can make the plantar pressure distribution uniform, may be designed through finite-element contact analysis.

• The KIPS Transactions:PartB
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• v.10B no.5
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• pp.521-526
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• 2003

In this paper, we propose a geometric active contour model based on intensity information and curve evolution for detecting region boundaries. We put boundary extraction problem as the minimization of the difference between the average intensity of the region and the intensity of the expanding closed curves. We used level set theory to implement the curve evolution for optimal solution. It offered much more freedom in the initial curve position than a general active contour model. Our methods could detect regions whose boundaries are not necessarily defiened by gradient compared to general edge based methods and detect multiple boundaries at the same time. We could improve the result by using anisotropic diffusion filter in image preprocessing. The performance of our model was demonstrated on several data sets like CT and MRI medical images.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.37 no.2
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• pp.143-149
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• 2024

Segmentation of material phases through image analysis is essential for analyzing the microstructure of materials. Micro-CT images exhibit variations in grayscale values depending on the phases constituting the material. Phase segmentation is generally achieved by comparing the grayscale values in the images. In the case of waste concrete used as a recycled aggregate, it is challenging to distinguish between hydrated cement paste and natural aggregates, as these components exhibit similar grayscale values in micro-CT images. In this study, we propose a method for automatically separating the aggregates in concrete, in micro-CT images. Utilizing the Unet-VGG16 deep-learning network, we introduce a technique for segmenting the 2D aggregate images and stacking them to obtain 3D aggregate images. Image filtering is employed to separate aggregate particles from the selected 3D aggregate images. The performance of aggregate segmentation is validated through accuracy, precision, recall, and F1-score assessments.

• Proceedings of the Korea Contents Association Conference
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• 2011.05a
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• pp.257-258
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• 2011

한국과학기술정보연구원과 가톨릭대학교 의과대학 가톨릭응용해부연구소에서는 기초기술연구회 National agenda project 일환으로 척추 연구자들이 쉽게 사용할 수 있는 기초 자료를 구축하고 있다. 컴퓨터 시뮬레이션 연구에 활용할 수 있는 모델 제작을 위한 형상 정보를 제공하기 위해 60대, 70대 기증시신 20여 표본을 활용하여 고해상도 척추 (whole spine) CT (pixel dimension : 0.4xmm, thickness: 0.6mm)를 촬영하고 이를 3차원 모델링 소프트웨어(Mimics, Ver.14, Materialise, Belgium)를 사용하여 3차원 형상 모델(shell model, STL format)로 구축하고 있다. 또한 3차원 형상 모델을 활용하여 목, 등, 허리 척추의 주요 부위를 계측하여 수치화 하였다. 시신 기반 자료의 한계를 극복하기 위해 척추센터를 내원한 환자 중 고령자 호발 질환을 중심으로 선정하여 X-Ray, 3D CT, MRI, BMD 자료를 구축하여 보강하고 있다.