• Title/Summary/Keyword: 의료영상처리

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Color Component Analysis For Image Retrieval (이미지 검색을 위한 색상 성분 분석)

  • Choi, Young-Kwan;Choi, Chul;Park, Jang-Chun
    • The KIPS Transactions:PartB
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    • v.11B no.4
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    • pp.403-410
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    • 2004
  • Recently, studies of image analysis, as the preprocessing stage for medical image analysis or image retrieval, are actively carried out. This paper intends to propose a way of utilizing color components for image retrieval. For image retrieval, it is based on color components, and for analysis of color, CLCM (Color Level Co-occurrence Matrix) and statistical techniques are used. CLCM proposed in this paper is to project color components on 3D space through geometric rotate transform and then, to interpret distribution that is made from the spatial relationship. CLCM is 2D histogram that is made in color model, which is created through geometric rotate transform of a color model. In order to analyze it, a statistical technique is used. Like CLCM, GLCM (Gray Level Co-occurrence Matrix)[1] and Invariant Moment [2,3] use 2D distribution chart, which use basic statistical techniques in order to interpret 2D data. However, even though GLCM and Invariant Moment are optimized in each domain, it is impossible to perfectly interpret irregular data available on the spatial coordinates. That is, GLCM and Invariant Moment use only the basic statistical techniques so reliability of the extracted features is low. In order to interpret the spatial relationship and weight of data, this study has used Principal Component Analysis [4,5] that is used in multivariate statistics. In order to increase accuracy of data, it has proposed a way to project color components on 3D space, to rotate it and then, to extract features of data from all angles.

Real-Time 3D Volume Deformation and Visualization by Integrating NeRF, PBD, and Parallel Resampling (NeRF, PBD 및 병렬 리샘플링을 결합한 실시간 3D 볼륨 변형체 시각화)

  • Sangmin Kwon;Sojin Jeon;Juni Park;Dasol Kim;Heewon Kye
    • Journal of the Korea Computer Graphics Society
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    • v.30 no.3
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    • pp.189-198
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    • 2024
  • Research combining deep learning-based models and physical simulations is making important advances in the medical field. This extracts the necessary information from medical image data and enables fast and accurate prediction of deformation of the skeleton and soft tissue based on physical laws. This study proposes a system that integrates Neural Radiance Fields (NeRF), Position-Based Dynamics (PBD), and Parallel Resampling to generate 3D volume data, and deform and visualize them in real-time. NeRF uses 2D images and camera coordinates to produce high-resolution 3D volume data, while PBD enables real-time deformation and interaction through physics-based simulation. Parallel Resampling improves rendering efficiency by dividing the volume into tetrahedral meshes and utilizing GPU parallel processing. This system renders the deformed volume data using ray casting, leveraging GPU parallel processing for fast real-time visualization. Experimental results show that this system can generate and deform 3D data without expensive equipment, demonstrating potential applications in engineering, education, and medicine.

Evaluation and Comparison of Signal to Noise Ratio According to Change of Kernel size of Heart Shadow on Chest Image (흉부 영상에서 커넬 크기변화에 따르는 신호대잡음비 비교평가)

  • Lee, Eul-Kyu;Jeong, Hoi-Woun;Min, Jung-Whan
    • Journal of the Korean Society of Radiology
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    • v.11 no.6
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    • pp.443-451
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    • 2017
  • The purpose of this study was to comparison of measure signal to noise ratio (SNR) according to change of kernel size from region of interest (ROI) of heart shadow in chest image. We examined images of chest image of 100 patients in a University-affiliated hospital, Seoul, Korea. Chest images of each patient were calculated by using ImageJ. We have analysis socio-demographical variables, SNR according to images, 95% confidence according to SNR of difference in a mean of SNR. Differences of SNR among change of equalization were tested by SPSS Statistics21 ANOVA test for there was statistical significance 95%(p<0.05). In SNR results, with the quality of distributions in the order of kernel size 9*9 image, kernel size 7*7 image and original chest image, kernel size 3*3 image (p<0.001). In conclusion, this study would be that quantitative evaluation of heart shadow on chest image can be used as an adjunct to the kernel size chest image.

Evaluation of Distortion in Measuring the Stability of Distal Radio-ulnar Joint in Wrist PA-Grip View (Wrist PA-grip view에서 먼쪽노자관절의 안정성 정도 측정 시 왜곡도 평가)

  • Shim, Jina;Lee, Youngjin
    • Journal of the Korean Society of Radiology
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    • v.15 no.3
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    • pp.321-327
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    • 2021
  • Wrist PA-grip view is used to diagnose triangular fibrocartilage complex (TFCC) tear because it can easily diagnose damage to the surrounding wrist ligaments. However, despite advances in radiology equipment, distortion of images due to geometric elements still has many limitations. In this paper, we propose a method that can minimize the distortions of images by analyzing the distortions occurring in the wrist PA-grip view. A source of image distance (SID) were set at 130 cm and 150 cm for comparison with 110 cm. Depending on the SID, the phantom of wrist was moved at 0, 2, 4, 6, 8, and 10 cm in the X-axis and Y-axis directions, respectively. For quantitative evaluation, the difference of distance between the radius and ulna was measured in picture archiving and communication system (PACS) system. As a qualitative evaluation, survey was conducted among 20 radiologic technologists who examined the Wrist PA-grip view. The Kruskal Wallis test was performed to compare the distortion according to the phantom movement in the X-axis and Y-axis directions based on the SID, and the Tukey test was performed as a post-test. In the quantitative evaluation results, the measured values obtained in the X-axis was not significantly different in all groups (p>0.05). The measured values obtained in the Y-axis was significantly different in the most groups (p<0.05). Therefore, to reduce distortion while maintaining image quality, we recommend what examine the SID at 150 cm than 110 cm.

Vision-based Authentication and Registration of Facial Identity in Hospital Information System

  • Bae, Seok-Chan;Lee, Yon-Sik;Choi, Sun-Woong
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.12
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    • pp.59-65
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    • 2019
  • Hospital Information System includes a wide range of information in the medical profession, from the overall administrative work of the hospital to the medical work of doctors. In this paper, we proposed a Vision-based Authentication and Registration of Facial Identity in Hospital Information System using OpenCV. By using the proposed security module program a Vision-based Authentication and Registration of Facial Identity, the hospital information system was designed to enhance the security through registration of the face in the hospital personnel and to process the receipt, treatment, and prescription process without any secondary leakage of personal information. The implemented security module program eliminates the need for printing, exposing and recognizing the existing sticker paper tags and wristband type personal information that can be checked by the nurse in the hospital information system. In contrast to the original, the security module program is inputted with ID and password instead to improve privacy and recognition rate.

A Double Z-buffer Antialiasing Method for Voxelized Implicit Surfaces (복셀로 표현된 임플리시트 곡면을 위한 시프트(shifted) 더블 Z-버퍼 앤티 앨리어싱)

  • 김학란;박화진
    • Journal of Korea Multimedia Society
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    • v.7 no.1
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    • pp.44-53
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    • 2004
  • This paper aims at presenting high quality at low resolution apply by a new antialiasing method for voxelized implicit surfaces. Implicit surfaces create a unique type of 3D-modeling. Some use of implicit surfaces are scientific and medical visualization, animation, medical simulation and interactive modeling. One of previous antialiasing methods for implicit surfaces presented by raytracing or texture mapping is making use of a stochastic sampling. But this method requires more calculation time and costs which is caused by complicated and difficult implicit functions. In the meanwhile, voxelized implicit surfaces generally use high resolution for good quality images but it costs to generate. In order to this problem, this paper suggests a shifted double Z-buffer which is very simple, more efficient and easy. Tn addition, there are applied box-filter and tent-filter to the double Z-buffer antialiasing method for better images. For results this method generate high quality image and it is easy to apply to various filters and is able to extend to multi Z-buffer.

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The Development of Vital Sign Web Viewer Systems using HL7 Protocol (HL7 프로토콜을 이용한 생체정보 웹 뷰어 시스템 개발)

  • Lim, Se-Jung;Kang, Ki-Woong;Seo, Jong-Joo;Kim, Gwang-Jun
    • The Journal of the Korea institute of electronic communication sciences
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    • v.3 no.2
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    • pp.112-117
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    • 2008
  • HL7 is well-Known standard protocol for text data generated in hospital information systems. Vital sign information web viewer systems is also the standard protocol for medical image and transfer. In order to embrace new technologies as telemedicine service, it is important to develope the standard protocol between different systems in the hospital, as well as the communication with external hospital systems. In this paper, we proposed integration method between vital sign web viewr systems and hospital information systems. Through the proper data exchange and modification of information management, HIS will offer better work flow to all hospital employee.

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레이저산업의 부활 (II. 산업용 레이저)

  • Lee, Min-Gyeong
    • The Optical Journal
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    • s.153
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    • pp.47-62
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    • 2014
  • ${\blacksquare}$ 목적 * 우리나라 주력산업분야(자동차, 조선, 항공, 기계, 로봇, 반도체 등)에 절단, 가공, 용접, 리소그라피, 마킹, 열처리, 합성, 표면처리 등의 방식으로 활용되고, 융 복합산업(의료, 에너지, 영상, 군수, 신소재, 센서)에 광원으로 응용되는 산업용 고출력 레이저의 산업 생태계 분석을 통하여 기존 산업의 고부가화와 신산업의 경쟁력을 견인 ${\blacksquare}$ 주요현황 * (시장현황) 2011년부터 2014년까지 고출력 레이저의 시장규모는 4,452백만불(5조 463억원)에서 5,255백만불(5조 9,565억원)으로 연평균 5.7% 성장 전망 * (제품기술동향) 3세대 레이저인 광섬유 레이저와 고출력 다이오드 레이저, DPSS 레이저 등이 기술혁신을 거듭하면서 1, 2세대 레이저를 대체해 가면서 높은 수준의 성장을 거듭할 것으로 전망. 산업용레이저의 주요선진국 대비 국내 기술수준은 전체적으로 44.5%정도로 취약 * (기업동향) Coherent, Trumpf, Cymer, IPG Photonics, Rofin-Sinar 5개사가 전체시장의 55%이상을 점유하고 있으며 대부분 수직계열화를 통해 경쟁력 확보. 최근 중국의 Han's 사가 자국정부의 지원을 통해 급 부상 ${\blacksquare}$ 시사점 * 산업용 레이저를 이용한 응용기술 부분 투자가 과거에는 단기 경제적 성취는 이로웠으나, 현재에 이르러 레이저 혹은 레이저 시스템이 필요할 때마다 외국에서 관련 핵심부품, 모듈 등을 수입해야하는 실정에 이르렀음. 향후 레이저 국산화를 위한 노력과 함께 후방 소재.부품의 전략적 투자를 통해 산업의 건강한 선순환생태 환경을 조성하여 산업 경쟁력을 갖추어야 함.

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사이버 아파트 네트워크 기본 설계에 관한 연구

  • Choe Chang-Geun
    • 한국정보통신설비학회:학술대회논문집
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    • 2002.08a
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    • pp.85-104
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    • 2002
  • 최근 정부(정보통신부)는 사이버 아파트를 포함하여 초고속 정보통신망을 2005년까지 구축하여 각 가정당 10Mbps의 고속 정보통신서비스를 실현한다는 계획을 발표하고, 초고속 정보통신을 활성화하므로 정보통신 선진국 진입을 위하여 "초고속 정보통신 건물 인증제도"를 발표, 현재 시행하고 있다. (1999.7 제정발표) 그러나 시행 과정에서 아파트 중앙 관리실에 있는 MDF 이후의 광케이블과 기타 공사는 건설회사에서 시공하고 중앙 관리실 MDF 이전의 광케이블 공사와 중앙관리실 LAN시설 등의 공사는 통신 전문업체로 하여금, 입주자 별도 부담금으로 시공하고 있다. (컨소시엄구성) 최근 아파트 분양열기 고조로 건설회사 마다 "초고속 정보통신아파트"인증 1등급이라고 선전 및 분양광고 중인데 실제는 "1등급"이 아니고 "2등급" 또는 "3등급"인 경우가 있어, 정부가 목표하는 각 가정당 10Mbps, 개인당 2Mbps 고속정보통신 서비스는 실현성 문제점이 있다. 정부의 인증심사 기준에 중앙관리실 장비 등에 대한 것은 심사기준에 누락되어 있고 또 사생활 정보보호를 위한 대응기술, 시스템 준비 정도까지 포함하여 종합적으로 평가한 뒤 인증을 부여하여야 한다는 것이 본인의 연구 초점이다. 사이버 아파트란 광통신을 주축으로 영상과 음성, 데이터를 자유 자재로 전송 처리하는 초고속 정보통신망을 이용하는 것으로 LAN 장비를 이용하여 각 세대간 통신은 물론 누구나 인터넷을 사용할 수 있는 기능이 있는 설계된 아파트를 말한다. 사이버 아파트의 네트워크에는 금융, 홈쇼핑, 예약, 지역정보, 관공서, 의료서비스, 레저 생활정보 등 차별화된 콘텐츠 확보가 필요하다. 본 연구의 핵심은 사이버 아파트의 현 실태와 문제점, 정부의 인증심사 기준의 미비점과 문제점, 사이버 아파트의 기능, 구성요소, 시스템 구축, 서버활용도, 장비들에 관한 것과 그리고 정부의 사이버 아파트 육성정책, 정보보호 대책과 관련업체들의 동향 등을 연구하여 요약 정리하였다.

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Researches of the Real-time Medical Imaging Precessing Board using ASIC architecture (ASIC을 이용한 고속의료영상처리보드의 개발을 위한 기초연구)

  • Seo, J.H.;Park, H.M.;Ha, T.H.;Nam, S.H.
    • Proceedings of the KOSOMBE Conference
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    • v.1998 no.11
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    • pp.299-300
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    • 1998
  • Recently the development of medical modality like as MRI, 3D US, DR etc is very active. Therefore it is more required not only the enhancement of quality in medical service but the improvement of medical system based on quantization, minimization, and optimization of high speed. Especially, as the changing into the digital modality system, it gets to start using ASIC(Application Specific Integrated Circuit) to realize one board system. It requires the implementation of hardware debugging and effective speedy algorithm with more speed and accuracy in order to support and replace existing device. If objected image could be linked to high speed process board with special interface and pre-processed using FPGA, it can be used in real time image processing and protocol of HIS(Hospital Information System). This study can support the basic circuit design of medical image board which is able to realize image processing basically using digitalized medical image, and to interface between existing device and image board containing image processing algorithm.

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