• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1998년도 추계학술대회
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• pp.113-114
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• 1998

In this paper, visualization of Visible Human data offered by NLM(National Library of Medicine) is performed using $VTK^{TM}$. Computed Tomography Data set(axial, $587\times341\times256$, and the distance between slices 1mm) is used throughout the study. Before the actual visualization routine, 8 bit-reader class of VTK is developed to transform CT data to VTK dataset. After that, the visualization procedures are done to display 3D image on PC. VTK is freeware, not a commercial software. The results of VTK show relatively good image quality and slower processing time compared with the commercial softwares like IAP, IDL, AVS. Thus if processing time is not the critical factor, VTK is worthy to be used in visualization of the medical images.

• 정보처리학회논문지B
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• 제15B권6호
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• pp.553-560
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• 2008

의료기술의 발전과 함께 의료기관에서 사용되는 영상 데이터량이 급속히 증가하고 있다. 따라서 대용량 의료 영상의 해석을 위해서는 의사들의 육안 검사보다 영상처리 기술을 이용한 자동화 방법이 필요하다. 특히 영상 정합을 통하여 의료 영상을 원하는 형태로 제공할 필요가 있고, 연속적으로 촬영된 2차원 영상들을 3차원 공간으로 해석하고 가시화 할 수 있는 기술이 필수적으로 요구된다. 그러나 현재 고가의 시스템이 대부분이며 의료기관에서는 고가의 시스템 도입에 따른 예산문제로 인해 사용하기를 꺼려하는 문제가 있다. 따라서 본 논문에서는 이러한 환경들을 고려하여 공개 그래픽 라이브러리인 VTK(Visualization Tool Kit)를 이용하여 정합된 결과를 3차원을 비롯한 여러 형태로 가시화할 수 있는 시스템을 개발하고자 한다. 제안한 시각화 시스템은 3차원 공간에서의 정합된 결과를 다양한 형태로 확인함으로써 단순히 2차원으로만 정합 결과를 표현했을 때 보다 정확한 진단 및 치료에 적용할 수 있으며 기존의 유사한 소프트웨어에 비해 가격 경쟁력도 갖출 것이라 예상된다.

• 한국멀티미디어학회논문지
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• 제8권7호
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• pp.1000-1011
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• 2005

본 논문에서는 통계에 대한 지식이 부족한 임상 의학자들이 보다 쉽고 정확하게 데이터를 분석할 수 있도록 표본 데이터의 분포에 따라 적절한 분석 방법을 제시해주고, 분석 과정을 아이콘들의 트리로 구성한 가이드맵을 제공하는 의료 통계분석 시스템을 개발하였다. 개 발 시스템은 일반적으로 활용되는 통계 방법, 반복측정자료에 활용되는 통계 방법, 생존분석 등 의료 분야에서 자주 사용되는 분석법들을 포함하고 있다. 또한 3차원 글리프를 이용하여 결과를 인터랙티브하게 보여주고, 불확실성을 시각화함으로써 분석된 결과를 더욱 쉽게 이해할 수 있도록 하였다.

• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1995년도 춘계학술대회
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• pp.45-48
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• 1995

Visualization of three dimensional medical images has been studied in many ways. For CT and MRI data, 3D rendering schemes are commercially available and widly used. However visualization of ultrasonic 3D data is not popular yet, even though its potentional in medical diagnosis seems very high. In this paper we try to visualize 3D ultrasonic data. The basic method is adopted from the volume rendering technique. Based on the characteristics of the ultrasonic images, 3D visualization algorithm is developed and applied for the 3D image set of a dog heart.

• 한국가시화정보학회지
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• 제4권2호
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• pp.3-5
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• 2006

Recently, the next-generation advanced flow visualization techniques such as holographic PIV, aynni.c PIV, echo-PIV, micro/nano-PIV, and X-ray PIV have been introduced. These advanced mea-surement techniques have a big potential as the core technology for analyzing outmost thermo-fluid flows in future. They would be indispensable in solving complicated thermo-fluid flow problems not only in industrial fields such as automotive, space, electronics, aero- and hydro-dynamics. steel, and information engineering, but also in the research fields of medical science, bio-medical engineering, environmental and energy technology etc. Especially, NT (Nano Technology) and BT (Bio Technology) strongly demand these advanced measurement techniques, because it is impossible for conventional measurement methods to observe the nano- and bio-fluidic flow phenomena. In this article, the basic principle of these high-tech flow visualization techniques and their practical applications which cannot be resolved by conventional methods, such as blood flows in a micro-tube, in vivo analysis of micro-circulation, and flow around a living body are introduced as a blue ocean strategy.

• Journal of International Society for Simulation Surgery
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• 제4권1호
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• pp.17-20
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• 2017

Purpose Interactive 3D visualization system through remote data transmission over heterogeneous network is growing due to the improvement of internet based real time streaming technology. Materials and Methods The current internet's IP layer has several weaknesses against IP spoofing or IP sniffing type of network attacks since it was developed for reliable packet exchange. In order to compensate the security issues with normal IP layer, we designed a remote medical visualization system, based on Virtual Private Network. Results Particularly in hospital, if there are many surgeons that need to receive the streaming information, too much load on the gateway can results in deficit of processing power and cause the delay. Conclusion End to end security through the network method would be required.

• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1998년도 추계학술대회
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• pp.259-260
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• 1998

In this paper, we present a 3D visualization method of medical image on PC. Using morphological method, we used to segment 2D medical images (X-ray CT, MRI). Presented method is treating in some detail two operations : dilation and erosion. Also known as an isosurface, using a constant density surface make a target organ in 3D. In the whole procedure for visualization. The medical images are implemented by using Visual C++ 5.0 in activeX and IDL(interactive data language) under PC environment.

• 한국멀티미디어학회논문지
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• 제18권2호
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• pp.120-127
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• 2015

Mild Cognitive Impairment(MCI) is a prior step to Alzheimer's Disease(AD). It is different from AD which is seriously affecting daily life. Particularly, the hippocampus could be charged a crucial function for forming memory. MCI has a high risk about progress to AD. Our investigated research for a relationship between hippocampus and AD has been studied. The measurement of hippocampus volumetric is one of the most commonly used method. The three dimensional reconstructed medical images could be passible to interpret and its examination in various aspects but the cost of brain research with the medical equipment is very high. In this study, 3D visualization was performed from a series of brain Magnetic Resonance Images(MRI) and we have designed and implemented a competitive software tool based on the open libraries of Visualization ToolKit(VTK). Consequently, our visualization software tool could be useful to various medical fields and specially prognosis and diagnosis for MCI patients.

• 디지털융복합연구
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• 제12권9호
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• pp.123-131
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• 2014

네트워크와 IT기술의 발달로 실시간 가용 데이터의 수요가 촉진되었다. 특히 소득 증가와 고령화 사회 진입에 따른 의료서비스의 질적 향상으로 개인 건강관리를 위한 데이터 수요가 확대되어 의료기관과 관련기업은 다양하고 진화된 의료서비스를 제공하려는 시도를 하고 있다. 그 중에서도 건강검진 결과의 표현은 가장 기본적인 의료 서비스로서, 개인의 건강 기록을 데이터화하여 수검자에게 자신의 건강상태에 대한 이해가 되도록 표현되어야 한다. 그러나 건강검진 결과 표현을 위한 체계적인 프레임워크와 시각화 모델의 부재로 인하여 직관적인 건강데이터의 표현은 사용자에 의한 이해가 어려운 실정이다. 본 연구는 수검자에게 일관된 수치적 데이터 형식으로 제공되었던 기존방식을 지양하면서 사용자 개인의 건강검진 결과에 맞춘 다양한 데이터 표현방식을 정립하여 개발된 맞춤형 데이터 시각화의 모델과 프레임워크를 제안한다.

• Journal of International Society for Simulation Surgery
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• 제1권1호
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• pp.27-31
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• 2014

In this paper, an overview of segmentation and 3D visualization methods are presented. Commonly, the two kinds of methods are used to visualize organs and vessels into 3D from medical images such as CT(A) and MRI - Direct Volume Rendering (DVR) and Iso-surface Rendering (IR). DVR can be applied directly to a volume. It directly penetrates through the volume while it determines which voxels are visualizedbased on a transfer function. On the other hand, IR requires a series of processes such as segmentation, polygonization and visualization. To extract a region of interest (ROI) from the medical volume image via the segmentation, some regions of an object and a background are required, which are typically obtained from the user. To visualize the extracted regions, the boundary points of the regions should be polygonized. In other words, the boundary surface composed of polygons such as a triangle and a rectangle should be required to visualize the regions into 3D because illumination effects, which makes the object shaded and seen in 3D, cannot be applied directly to the points.