• 제목/요약/키워드: Medical Image Storage System

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의료 화상 정보 시스템의 설계 및 구현 (Design and Implementation of Medical Image Information System)

  • 지은미;권용무
    • 대한의용생체공학회:의공학회지
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    • 제15권2호
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    • pp.121-128
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    • 1994
  • In this paper, MIlS (Medical Image Information System) has been designed and implemented using INGRES RDBMS, which is based on a client/server architecture. The implemnted system allows users to register and retrieve patient information, medical images and diagnostic reports. It also provides the function to display these information on workstation windows simultaneously by using the designed menu-driven graphic user interface. The medical image compression! decompression techniques are implemented and integrated into the medical image database system for the efficient data storage and the fast access through the network.

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심전도

  • 서병설
    • 대한의용생체공학회:의공학회지
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    • 제9권1호
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    • pp.131-134
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    • 1988
  • In this paper, MIIS (Medical Image Information System) has been designed and implemented using INGRES RDBMS, which is based on a client/server architecture. The implemented system allows users to register and retrieve patient information, medical images and diagnostic reports. It also provides the function to display these information on workstation windows simultaneously by using the designed menu-driven graphic user interface. The medical image compression/decompression techniques are implemented and integrated into the medical image database system for the efficient data storage and the fast access through the network.

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PACS를 위한 고속 CODEC의 하드웨어 구현 (Hardware Implementation of High Speed CODEC for PACS)

  • 유선국;박성욱
    • 대한의용생체공학회:의공학회지
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    • 제15권4호
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    • pp.475-480
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    • 1994
  • For the effective management of medical images, it becomes popular to use computing machines in medical practice, namely PACS. However, the amount of image data is so large that there is a lack of storage space. We usually use data compression techniques to save storage, but the process speed of machines is not fast enough to meet surgical requirement. So a special hardware system processing medical images faster is more important than ever. To meet the demand for high speed image processing, especially image compression and decompression, we designed and implemented the medical image CODEC (COder/DECoder) based on MISD (Multiple Instruction Single Data stream) architecture to adopt parallelism in it. Considering not being a standard scheme of medical image compression/decompression, the CODEC is designed programable and general. In this paper, we use JPEG (Joint Photographic Experts Group) algorithm to process images and evalutate the CODEC.

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계산 그리드 기반 의료영상 저장시스템 (Medical Image Storage System based on Computational Grid)

  • 안병규;박재현
    • 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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    • 제15권10호
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    • pp.715-723
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    • 2009
  • 대형병원에서 환자의 치료와 진단을 목적으로 하루에 생산되는 의료영상의 발생량은 보다 정확하고 정밀한 진단이 요구되는 촬영장비와 네트워크 인프라의 발달로 나날이 증가하고 있으며, 앞으로 그런 추세는 계속 될 것이다. 따라서 기존방식의 PACS보다 성능이 개선된 시스템이 요구된다. 본 연구에서는 영상압축속도를 개선하기 위해, 계산그리드 기술을 이용하여, PACS의 부분시스템으로써, 의료영상압축 저장시스템을 설계 구현하였다. 제안된 시스템의 시작품을 사용한 실험을 통해, 처리기들이 추가됨에 따라 성능이 향상됨을 확인하였다.

A comparative study of medical image applications: compression and transmission

  • 조규철;김재준
    • 한국산업정보학회논문지
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    • 제12권5호
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    • pp.14-22
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    • 2007
  • PACS is an integrated communication network system which is consists of image acquisition devices, storage archiving units, display stations, computer processors, and database management systems. In medical industry, they have been introduced the medical equipments through PACS systems based on the DICOM standard. In this paper, we have reviewed the visual quality performance of various JPEG and JPEG2000 compression options for medical images. Through the realized the transmission mode on DICOM standard, the developed DICOM viewer has been shown in medical applications.

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Picture Archiving and Communication System(PACS) & Teleradiology

  • 박현욱
    • 전자공학회지
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    • 제23권3호
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    • pp.83-93
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    • 1996
  • Picture archiving and communications systems(PACS) for digital image distribution, archiving and transmission, represent the modern hospital. PACS is the medical image management system within a hospital, whereas teleradiology system is the medical image communication system between remote sites. PACS and teleradiology systems usually consists of mainly four parts such as image acquisition part, image storage and database part, Image communication network part, and image display workstation part. Among these components comprised In the PACS, workstations are the point of contact between a PACS and the radiologist or referring physician. Therefore, the acceptance of PACS is highly dependent on workstation functionality, performance and easy of use compared with the conventional film-based radiology. This paper describes overall configurations and some requirements of PACS and teleradiology.

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On Realization Medical Imaging Viewer based on DICOM Standard

  • Cho, Kyu-Cheol;Kim, Jae-Joon
    • 한국정보기술응용학회:학술대회논문집
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    • 한국정보기술응용학회 2005년도 6th 2005 International Conference on Computers, Communications and System
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    • pp.157-160
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    • 2005
  • PACS is an integrated communication network system which is consists of image acquisition devices, storage archiving units, display stations, computer processors, and database management systems. In medical industry, they have been introduced the medical equipments through PACS systems based on the DICOM standard. In this paper, we have reviewed the performance of JPEG and JPEG2000 used as medical image compression and realized the transmission mode on DICOM standard.

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인간 시각 장치의 특성을 이용한 의학 영상 압축에 관한 연구 (The Study on the Medical Image Compression using the Characteristics of Human Visual System)

  • 지영준;박광석
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1993년도 춘계학술대회
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    • pp.38-41
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    • 1993
  • For efficient transmission and storage of digital images, the requirements of image compression is incresing. Because the medical images contain diagnostic information small distortion has been more important factor than the low rate in such images. Generally the distortion in image is the difference of pixel values. However the image is percieved by human visual systems. So it is reasonable that human visual system characteristics be used as criteria of the image compression. In this paper, the Just Noticeable Difference curve is used as criteria of determining the homogeniety of a block and acceptibility of distortions. And Block Truncation Coding using spatial masking effect of eyes is adopted to code the blocks which contain line components. And small blocks which varies slowly can be approximated to polynomial functions successfully. We proposed the hybrid block coding scheme based on the block characteristics and human visual system characteristics. Simulation to several kinds of the medical images using this method showed that medical images can be compressed 5:1 - 10:1 without noticeable distortion.

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DICOM 표준을 지원하는 웹 기반 의료 정보 시스템 (Web-based Medical Information System supporting DICOM Specification)

  • 권기범;김일곤
    • 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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    • 제7권4호
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    • pp.317-323
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    • 2001
  • 의료 영상 정보의 운용을 위한 표준인 DICOM(Digital Imaging and Communications in Medicine)은 의료 영상의 전송과 저장에 관한 방식을 제공하고 있다. 환자가 병원에서 획득한 영상은 DICOM 파일로 만들어진다. 본 논문은 DICOM 파일의 정보를 데이타베이스에 저장하고 웹서버의 구성요소로 의료 정보를 구성하여 사용자가 인터넷을 통해서 웹서버에서 제공하는 의료 정보를 볼 수 있게 하는 웹 기반 의료 정보 시스템 설계, 구현 기법을 제시한다. 데이타베이스에는 환자와 영상에 대한 정보를 DICOM 파일의 그룹과 요소별로 읽어서 저장했다. 파일 전동 모듈은 DICOM의 서비스 중에서 Store 서비스를 구현하여 IP 주소를 가진 컴퓨터와의 파일 전송이 가능하도록 만들었다. 위와 같은 파일의 전송과 저장에 대한 서비스를 웹에서 제공할 수 있도록 웹 컴포넌트로 각각을 구성하였다.

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GRID 기반의 분산형 의료영상 저장시스템 설계 및 구현 (A Design and Implementation of Image Maintenance Using Base on Grid of the Decentralized Storage System)

  • 김선칠;조훈
    • 대한디지털의료영상학회논문지
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    • 제7권1호
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    • pp.33-38
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    • 2005
  • Modern hospitals have been greatly facilitated with information technology (IT) such as hospital information system (HIS). One of the most prominent achievements is medical imaging and image data management so-called Picture Archiving and Communication Systems (PACS). Due to inevitable use of diagnostic images (such as X-ray, CT, MRI), PACS made tremendous impact not only on radiology department but also nearly all clinical departments for exchange and sharing image related clinical information. There is no doubt that better use of PACS leads to highly efficient clinical administration and hospital management. However, due to rapid and widespread acceptance of PACS storage and management of digitized image data in hospital introduces overhead and bottleneck when transferring images among clinical departments within and/or across hospitals. Despite numerous technical difficulties, financing for installing PACS is a major hindrance to overcome. In addition, a mirroring or a clustering backup can be used to maximize security and efficiency, which may not be considered as cost-effective approach because of extra hardware expenses. In this study therefore we have developed a new based on grid of distributed PACS in order to balance between the cost and network performance among multiple hospitals.

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