• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.14 no.4
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• pp.101-106
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• 2014

The era came that by having fastest internet and smart phone makes cloud computing really a big merit. This paper proposes architecture for medical image volume rendering in mobile environment using cloud computing. This architecture to replace expensive workstation server and storage it use one of the service of cloud computing IaaS(Infrastructure as a Service). And this paper propose to use webGL to get rid of restriction of mobile hardware. By this research, it is expected that medical image volume rendering service in mobile environment is more effective and can be a foundation work.

• Journal of KIISE:Computer Systems and Theory
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• v.31 no.3_4
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• pp.187-194
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• 2004

Shear-Warp volume rendering has many advantages such as good image Quality and fast rendering speed. However in the interactive classification environment it has low efficiency of memory access since preprocessed classification is unavailable. In this paper we present an algorithm using the spacial locality of memory access in the interactive classification environment. We propose an extension model appending a rotation matrix to the factorization of viewing transformation, it thus performs a scanline-based rendering in the object and image space. We also show causes and solutions of three problems of the proposed algorithm such as inaccurate front-to-back composition, existence of hole, increasing computational cost. This model is efficient due to the spacial locality of memory access.

• Investigative Magnetic Resonance Imaging
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• v.9 no.1
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• pp.2-8
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• 2005

Purpose : The purpose of this study was to implement a software to visualize tumor and its surrounding fiber tracts simultaneously using diffusion tensor imaging and examine the feasibility of our software for investigating the influence of tumor on its surrounding fiber connectivity. Material and Methods : MR examination including T1-weigted and diffusion tensor images of a patient with brain tumor was performed on a 3.0 T MRI unit. We used the skull-striped brain and segmented tumor images for volume/surface rendering and anatomical information from contrast-enhanced T1-weighted images. Diffusion tensor images for the white matter fiber-tractography were acquired using a SE-EPI with a diffusion scheme of 25 directions. Fiber-tractography was performed using the streamline and tensorline methods. To correct a spatial mismatch between T1-weighted and diffusion tensor images, they were coregistered using a SPM. Our software was implemented under window-based PC system. Results : We successfully implemented the integrated visualization of the fiber tracts with tube-like surfaces, cortical surface and the tumor with volume/surface renderings in a patient with brain tumor. Conclusion : Our result showed the feasibility of the integrated visualization of brain tumor and its surrounding fiber tracts. In addition, our implementation for integrated visualization can be utilized to navigate the brain for the quantitative analysis of fractional anisotropy to assess changes in the white matter tract integrity of edematic and peri-edematic regions in a number of tumor patients.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.12
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• pp.1165-1176
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• 2010

In order to realistically visualize such participating media as cloud, smoke, and gas, the light transport process must be physically simulated inside the media. While it is known that this process is well described physically through the volume rendering equation, it usually takes a great deal of computation time for obtaining high-precision solutions. Recently, GPU-based, fast rendering methods have been proposed for the realistic simulation of participating media, however, there still remain several problems to be resolved. In this article, we describe our rendering techniques applied to enhance the performances and features of our GPU-assisted participating media renderer, and analyze how such efforts have actually improved the renderer. The presented techniques will be effectively used in volume renderers for creating various digital contents in the special effects industries.

• Journal of the Korean Society of Visualization
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• v.8 no.2
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• pp.51-55
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• 2010

Flow characteristics of a free-horizontal-axis-turbine (FHAT) current power generation system have been investigated by the use of a volumetric PTV. Three types of FHAT system (S50, SE50, S65) have been tested under the current speed 1.35 knot, 1.5 knot and 2 knot. The width of the blade installed around the body is 50 mm. Based upon the power generation characteristics of the FHAT, the flow features of the blade have been investigated. Among the three models it has been verified that the S65 is the most appropriate for power generations.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2003.10a
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• pp.619-622
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• 2003

3차원 모델링 데이터를 VRML로 가시화하기 위해서는 용량 최적화와 실시간 렌더링이 중요하다. 실시간 렌더링은 객체에 따른 폴리건 수에 영향을 받게 되는데, 폴리건 수가 작으면 렌더링의 질이 저하되고 폴리건 수가 많아 데이터 용량이 크면 오브젝트 표현력은 좋으나 높은 대역폭을 필요로 하여, 디더링 철상이 발생과 실시간 렌더링이 어렵게 된다. 그러므로 네트워크 가상공간 내의 오브젝트는 최소의 폴리건을 사용해 메쉬를 단순화 시켜주는 방법으로 데이터 용량을 줄여주는데, 용량은 저하되지만 블록화 현상이 발생하여 저급한 렌더링이 된다. 본 논문에서는 모델링 데이터의 폴리건 수를 줄여 데이터 용량을 최적화 하고, 폴리건의 단순화에서 생기는 블록화 현상을 제거할 수 있는 방법으로 B-스플라인 곡선과 명암처리 기법인 고라우드 명암법을 이용하여 경계면을 부드럽게 처리할 수 있는 기법을 제시한다.

• Proceedings of the Korean Information Science Society Conference
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• 1998.10c
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• pp.612-614
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• 1998

뇌정위 수술(Stereotactic Surgery)은 컴퓨터 단층영상과 자기공명 영상 같은 3차원 영상을 이용하여 뇌병변의 위치를 입체적으로 정확히 파악하여 정상 뇌에 대한 손상을 최소화하며 병변을 수술하는 기법이다. 본 논문에서는 수술 받을 환자의 컴퓨터 단층영상과 자기공명 영상 등 다양한 종류의 3차원 볼륨 데이터를 전처리한 다음 동일한 3차원 공간 내에서 정렬시켜 선택적 또는 동시적으로 3차원 영상을 가시화 하는 기법을 제안한다. 또한 3차원 영상에서 뇌정위 수술의 삽입점과 목표점을 지정할 수 있는 기능을 지원하며 수술 경로에 따른 가상 수술의 시뮬레이션을 통하여 수술 경로의 안전성을 검증할 수 있게 하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.04a
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• pp.728-729
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• 2016

모바일 기기의 사용량 증가와 성능의 증가로 인해 컴퓨팅 파워가 필요한 많은 분야에서 모바일 기기를 활용 할 수 있게 되었고, 의료영상 분야에서도 활용도가 높아졌다. 특히 전문가가 아닌 일반인들의 건강정보와 인체의 구조에 대한 관심이 증가함에 따라 휴대 가능한 모바일 기기에서 의료영상을 가시화는 것은 중요한 연구주제가 되었다. 하지만, 모바일 기기는 하드웨어의 한계가 있기 때문에 비교적 데이터의 용량이 큰 의료영상 가시화에 많은 제약이 따른다. 본 논문에서는 유니티3D를 활용하여 볼륨렌더링 어플리케이션을 개발하고, 여기에 사실적인 컬러정보를 포함한 Visible Korean 데이터를 적용하여 일반인에 적합한 인체정보를 제공하는 모바일 기기용 인체영상 학습 어플리케이션을 제안한다. 제안한 어플리케이션을 사용하면 매우 사실적인 인체영상을 이용하여 일반인들이 쉽게 인체 구조를 학습할 수 있다.

• Journal of the Korea Society of Computer and Information
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• v.15 no.2
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• pp.163-170
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• 2010

Multi-planar reformatting(MPR) is a volume rendering technique which generates images of sectional planes users define, so that it is essential for medical imaging system. Due to the recent advances of medical imaging system, users require to place plural planes on a single dataset and to enable an individual and easy control for each plane. In this paper, we enumerate various user operations for recent MPR and analyze user requirements to update the plane equation. For the effective control of coordinate system, each plane is considered in a separated coordinate system and all informations which form a coordinate system are grouped into two components: the individual components and the common components. The proposed system is implemented on a graphics hardware, so that it smoothly performs MPR including recent requirements.

• Journal of the Korea Computer Graphics Society
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• v.21 no.3
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• pp.36-45
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• 2015

It is important subject of research in engineering and natural science field that creating continuing high-definition image from very large volume data. The necessity of software that helps analyze useful information in data has improved by effectively showing visual image information of high resolution data with visualization technique. In this paper, we designed multi-platform visualization system based on client-server to analyze and express earth environment data effectively constructed with observation and prediction. The visualization server comprised of cluster transfers data to clients through parallel/distributed computing, and the client is developed to be operated in various platform and visualize data. In addition, we aim user-friendly program through multi-touch, sensor and have made realistic simulation image with image-based lighting technique.