• Proceedings of the Korea Contents Association Conference
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• 2015.05a
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• pp.361-362
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• 2015

사물인터넷(IoT)이 활성화되면 환자의 정보를 PC뿐만 아니라 스마트폰 등 모바일 기기를 통해 확보할 수 있게 돼 지금보다 방대하고 상세한 정보가 클라우드에 저장되고, 이들 데이터를 활용하면 결과적으로 의료 및 헬스케어 서비스 향상에 기여할 것으로 예상된다. 이러한 면에서 PACS 시스템 또한 핸드폰과 무선망의 보급이 보편화되면서 사용자가 이동 중 또는 병원이 아닌 외부에서 무선통신망을 이용하여 의료영상을 조회하고자 하는 요구가 급속히 늘어나고 있다. 이에 본 논문은 IOT 기반의 모바일 PACS 플랫폼을 개발하여 스마트폰을 사용하는 의사와 환자가 원하는 의료영상을 쉽게 저장 검색 조회 전송할 수 있는 시스템을 설계하였다.

• The Transactions of the Korea Information Processing Society
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• v.5 no.12
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• pp.3275-3284
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• 1998

In this paper, we deseribe a Medical Image Information System. Our system stores and manages 5 dimensional medical image data and provides the 3 dimensional medical data via the Internet. The Internet standard VR format. VRML(Virtual Reality Modeling Language) is used to represent the 3I) medical image data. The 3D images are reconstructed from medical image data which are enerated by medical imaging systems such ans CT(Computerized Tomography). MRI(Magnetic Resonance Imaging). PET(Positron Emission Tomograph), SPECT(Single Photon Emission Compated Tomography). We implemented the medical image information system shich rses a surface-based rendering method for the econstruction of 3D images from 2D medical image data. In order to reduce the size of image files to be transfered via the Internet. The system can reduce more than 50% for the triangles which represent the surfaces of the generated 3D medical images. When we compress the 3D image file, the size of the file can be redued more than 80%. The users can promptly retrieve 3D medical image data through the Internet and view the 3D medical images without a graphical acceleration card, because the images are represented in VRML. The image data are generated by various types of medical imaging systems such as CT, MRI, PET, and SPECT. Our system can display those different types of medical images in the 2D and the 3D formats. The patient information and the diagnostic information are also provided by the system. The system can be used to implement the "Tele medicaine" systems.

• Proceedings of the Korean Society of Computer Information Conference
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• 2013.01a
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• pp.299-300
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• 2013

의료시장의 무한경쟁과 의료 경영환경을 극복하기 위한 최선의 방안은 병원 업무의 전산화를 통한 시스템 간의 효율적인 정보교환의 필요성이 대두되고 있다. 또한, 처방전달시스템, 전자의무기록시스템, 검사정보시스템, 의료영상 저장 및 전송시스템 등의 이기종간 의료정보 시스템의 통합 시스템을 구축하여 진료환경을 구축하고 진료의 효율성을 개선해야 할 것이다. 본 논문에서는 업무 시스템 간에 상호 연계가 보장된 표준정보연계체계 구축 및 최적화된 응용시스템 구축으로 환자 서비스 개선과 진료 및 경영 효율을 증대시킨 통합의료정보시스템의 구축방안에 대하여 연구하였다.

• Proceedings of the KIEE Conference
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• 2000.07d
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• pp.3236-3237
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• 2000

본 논문에서는 의료 영상분야에서 많이 활용되고 있는 기존의 영상 획득,저장 및 전송 시스템(PACS)에 스테레오 내시경 영상이 추가될 수 있도록 기존의 PACS에 스테레오 기능의 관찰(viewing) 시스템을 추가하였으며 기본 기능으로 1) 3차원 스테레오 좌,우 독립 영상의 선택과 합성 2) 기존의 합성된 스테레오 영상의 선택이 가능하도록 하였으며 3) 스테레오 영상의 Dicom 표준이 없는 상황을 고려하여 기본적인 카메라 관련 사항(카메라 사양, 초점 거리, 베이스라인 등)을 입력할 수 있는 기록 필드를 삽입하였다. 또한 임상적으로 수용 가능한 3차원 스테레오 영상의 PACS내 효율적 저장법을 제시하기 위하여 의료 영상에 많이 활용되는 JPEG과 Wavelet 압축법을 각각 이용하여 3차원 좌,우 독립영상과 복합 영상의 효율적 압축비를 PSNR을 중심으로 비교하였다.

• Journal of the Korea Society of Computer and Information
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• v.10 no.3 s.35
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• pp.331-337
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• 2005

'Supplement 23:DICOM SR' announced on April 2000 made possible co-relations between the clinical reports and human body parts by standardizing the exchange of clinical information. DICOM SR uses its own coding schemes and values to represent information, which convey hierarchically structured content items. This paper analyzes radiology reports produced in HIS(Hospital Information System) and categorizes content structures into three parts such as, finding, conclusion, and recommendation, and implements a system which can be used by clinicians. Digital X-ray images and their reports have been managed separately. Since the report made by DICOM SR can refer to images, the integrated information of reports and images is possible.

• Journal of the Korean Society of Radiology
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• v.8 no.1
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• pp.43-49
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• 2014

PACS is needed medical imaging with large-capacity storage device. Slower transmission degrades the performance of the PACS. Thus, the image read by the reading of the long-term stored image without compromising the quality of the video, which does not affect future readings in the range will be compressed and stored. Compression and video storage, and video transport Noise generated during storage and transmission of medical images and the resulting loss of information that occurs when the monitor output from many problems. The study estimates server display monitor and client display monitor of philips DSA system, and suggests that the evaluation and improvement about PSNR, process from server display signal obtaining to client display monitor. P company DSA is used in the test. Two monitors that are $1280{\times}1024$ pixel monitor of P company and 1536x2048 pixel monitor of Wide are used displaying angiography picture. MARO-view is taken in PACS program, and Visual $C^{++}$ is taken as accomplishing PSNR measurement program. As a result of experiment, no change in No 1, 3 of PSNR appear that there is no error in telephotograph and display. In terms of compressibility, low compressibility has small change of definition, and there was not remarkable drawback of compressibility which has little change in definition.

• The Journal of the Korea Contents Association
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• v.9 no.4
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• pp.247-253
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• 2009

PACS(Picture archiving communication system) is a system that enables medical images such as X -ray, CT, MRI, PET to be stored electronically viewed on computer screens so that doctors and other authorized people can access search the information as needed. But if they are not in hospital area for example on holiday or at night, that are not able to access the PACS system instantly. We have to solve this problem for more efficient patient care. So we try to suggest a method that use the PDA system that wireless LAN and CDMA cellular phone are equipped. This system may help to access easier to PACS system regardless of the location and can also attribute the development of telemedicne.

• Korean Journal of Digital Imaging in Medicine
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• v.6 no.1
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• pp.9-18
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• 2003

디지털 영상 검출기와 디스플레이 기술의 발달과 의료영상전달시스템(PACS)의 출현은 전통적 필름방식에 비하여 디지털 방식으로 방사선과 영상을 획득하고 전송, 저장하는 매우 효과적인 수단을 제공하고 있다. 2002년 8월, 연세의료원 세브란스병원은 진단 영상 판독 목적으로 18 대의 CRT(Braco View, Belgium)와 32대의 평판 LCD(Totoku Electric Co., Ltd., Japan) 디스플레이 장치를 GE full-PACS(GE 메디칼시스템코리아 : GEMSK)와 연계하여 설치 완료하였다. 본 연구에서, 기하학적 왜곡, 반사, 휘도 반응, 휘도 균일도, 분해능, 노이즈,베일링 글레어, 칼라 균일도 항목들을 AAPM TG18 보고서 9.0에 따라서 시각적 그리고 부분적으로는 정량적인 방법으로 인수검사를 실시하여 보고한다. 사용된 장비는 색도계로도 사용되는 간편한 휘도계, TG18 테스트 패던, AAPM Tg18 AT plug-in software(Barco View Ltd., Kortrijk, Belgium)이었다. 칼라 균일도를 제외한 모든 테스트 결과는 AAPM TG18에서 권고하는 기준에 일치하였으며 진단 영상 판독에 사용하기에 전적으로 수락할 수 있는 성능이었다. 결론으로, 사용된 인수검사는 단지 인수 검사 표준을 제공하는 것 뿐만 아니라 품질검사(QC)의 지침, 판독 환경의 최적화 그리고 교체 시기나 업그레이드 시기를 결정하여주는 중요한 역할을 할 수 있을 것이다.

• KIPS Transactions on Computer and Communication Systems
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• v.11 no.9
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• pp.317-322
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• 2022

The rapid development of information technology is also bringing about many changes in the medical environment. In particular, it is leading the rapid change of medical image information systems using big data and artificial intelligence (AI). The prescription delivery system (OCS), which consists of an electronic medical record (EMR) and a medical image storage and transmission system (PACS), has rapidly changed the medical environment from analog to digital. When combined with multiple solutions, PACS represents a new direction for advancement in security, interoperability, efficiency and automation. Among them, the combination with artificial intelligence (AI) using big data that can improve the quality of images is actively progressing. In particular, AI PACS, a system that can assist in reading medical images using deep learning technology, was developed in cooperation with universities and industries and is being used in hospitals. As such, in line with the rapid changes in the medical image information system in the medical environment, structural changes in the medical market and changes in medical policies to cope with them are also necessary. On the other hand, medical image information is based on a digital medical image transmission device (DICOM) format method, and is divided into a tomographic volume image, a volume image, and a cross-sectional image, a two-dimensional image, according to a generation method. In addition, recently, many medical institutions are rushing to introduce the next-generation integrated medical information system by promoting smart hospital services. The next-generation integrated medical information system is built as a solution that integrates EMR, electronic consent, big data, AI, precision medicine, and interworking with external institutions. It aims to realize research. Korea's medical image information system is at a world-class level thanks to advanced IT technology and government policies. In particular, the PACS solution is the only field exporting medical information technology to the world. In this study, along with the analysis of the medical image information system using big data, the current trend was grasped based on the historical background of the introduction of the medical image information system in Korea, and the future development direction was predicted. In the future, based on DICOM big data accumulated over 20 years, we plan to conduct research that can increase the image read rate by using AI and deep learning algorithms.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.6
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• pp.1124-1131
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• 2006

The recent medical treatment guidelines and the development of information technology make hospitals reduce the expense in surrounding environment and it requires improving the quality of medical treatment of the hospital. Moreover, MIS, PACS(Picture Archiving and Communication System), OCS, EMR are also developing. Medical Information System is evolved toward integration of medical IT and situation is changing with increasing high speed in the ICT convergence. Mobile component refers to construct wireless system of hospital which has constructed in existing environment. Through RFID development in existing system, anyone can log on easily to internet whenever and wherever. It is the core technology to implement automatic medical processing system. This paper provides a basic review of RFID model, PACS application component services. In addition, designed and implemented database server's component program and client program of mobile application that recognized RFID tag and patient data in the ubiquitous environments. This system implemented mobile PACS that performed patient data based db environments, and so reduced delay time of requisition, medical treatment, lab.