• The Journal of Korean Institute of Communications and Information Sciences
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• v.38B no.11
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• pp.870-878
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• 2013

The objective of this paper is to develop mobile-based PACS(Picture Archiving Communication System: mPACS) for diagnostic medical image service available via Android-based mobile smartphone. The proposed mPACS provides an integrated platform for mobile application of diagnostic medical images stored in hospital PACS, and allows the smartphone to store, retrieve, manipulate and transfer the diagnostic medical images. Then, the mPACS platform includes the following features for use in the Android framework (i. e., diagnostic medical image processing) : transfer protocols between PACS, mPACS and smartphone, image format converter, JPEG and JPEG2000 coders, text and avatar search, and etc. This mPACS is shown to be useful and effective in providing a solution for mobile-based diagnostic medical image service.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.8
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• pp.1849-1854
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• 2010

As for information system in hospital which digital hospital aims at, there are PACS(Picture Archiving and Communication System) and soon. PACS transfer and store various medical pictures which are occurring in hospital. The various medical pictures is captured by using keyboard or foot switch during a surgical operation. In this paper, foot switch USB module that can be mounted into a main foot switch case is designed and implemented, it is having a MCU circuit with a built-in micro-controller and a I/O interface having a maximum of five switch. we also developed foot switch control software program with various functions. The result of using the module in the hospital field confirms that the module operates safely.

• Journal of Internet Computing and Services
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• v.20 no.5
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• pp.37-47
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• 2019

The purpose of this paper is to construct a system that matches the patient's image disease information with the medical image viewer in providing the medical image information to the medical staff. Currently, medical image information systems that are commercialized mostly provide only one image viewer with various image information of diseases or use incompatible exclusive viewers. For this reason, we designed and implemented a medical image information viewer matching system that integrates and provides specialized viewers that can be selected by diseases' image information. That is, it is a system to match and view medical image viewers based on disease information extracted from tag information stored as the metadata in DICOM file, which is medical image information standard, for disease-specific viewer matching. We analyzed the execution performances through our retrieval service of medical image information from our implementation system, and showed compatibility and control with various viewers.

• The Journal of the Acoustical Society of Korea
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• v.17 no.8
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• pp.34-40
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• 1998

본 논문에서는 일반 X-ray 필름을 사용하는 기존 아날로그 의료 영상 진단 체계의 문제점들을 해결하기 위해 연구 개발된 포괄적인 영상관리 전송 시스템(PACS)에서의 효율 적인 영상 전송과 저장을 위해 병원에서 매일 다량으로 발생하는 의료 영상들 중 CT와 MR영상을 대상으로 하여 새로운 무손실 영상 압축 기법인 CRAC 압축 알고리즘을 설계하 였다. CRAC 압축 알고리즘에서는 CT와 MR 영상의 파일구조를 분석하여 런랭스 코딩에 적합하도록 데이터를 재배열하는 전처리 작업을 설계하였으며, 이를 CT와 MR 영상에 최적 화 시킨 개선된 런랭스 알고리즘으로 1차 압축시켜 그 결과를 산술 부호화 알고리즘과 결합 함으로써 압축효율을 향상시켰다. 이러한 CRAC 압축 알고리즘은 무손실 압축 기법으로, 의 료 영상을 압축한 수 손실 없이 원 영상을 그대로 복원할 수 있기 때문에 PACS에서의 CT, MR 영상의 판독을 위한 단기 저장시에 적합한 압축 알고리즘으로 CT와 MR 영상의 무손 실 압축에 대해 새로운 전처리 방법을 제시하였고, 기존 무손실 압축 방법들과 비교 분석한 결과 압축률이 2.1%∼5.9% 정도 향상되었다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2013.01a
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• pp.287-290
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• 2013

본 논문에서는 DICOM 영상을 UPnP Server로 구현된 PACS 서버를 설계하고 UPnP Renderer를 이용하여 스트리밍 전송으로 화면에 출력하고 전송하여 병원에서의 진단 진료 시스템의 효율을 높일 수 있고 사용자 서비스적 관점의 이동형 의료정보시스템을 제안하고자 한다. 본 논문에서의 DICOM 엔진은 PACS 에서의 영상 취득 서버의 과부화 문제를 해결하고 의료 정보통합의 과정에서 다양한 프로세싱 방법으로 사용될 것이며, 홈 네트워크나 PnP 기능으로 제한되어 있던 UPnP 미들웨어의 다양한 서비스 활용이 가능할 것으로 사료된다.

• Korean Journal of Digital Imaging in Medicine
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• v.6 no.1
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• pp.69-77
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• 2003

목적 : 최근 들어 여러 가지 디지털 의료장비와 각종 의료정보시스템, 인터넷의 활용에 따라 다양한 종류의 의료정보와 지식이 엄청나게 증가하고 있고, 최신의 진료환경구축을 위해서 이러한 지식과 정보들을 통합 관리하려는 필요성과 요구가 대두되고 있다. 그러나 이러한 요구들은 기존의 종이로 된 차트나 필름 등의 기법에서는 물론이고 여러 가지 독립적인 전산 시스템들 <처방전달시스템(OCS), 의료영상저장전송시스템(PACS) 등>을 통해서도 충족되기 어려운 것이 현실이다. 왜냐하면 기존에 설치된 의료 정보 시스템들은 대체로 독자적인 처리방식과 내부구조를 가지고 있기 때문에 서로 다른 의료 정보 시스템간에 정보를 교환한다는 것이 사실상 매우 어렵거나 심지어는 불가능한 경우가 있기 때문이다. 그러나 이러한 의료 정보들을 최대한 유기적으로 활용하기 위해서는 이상의 여러 가지 의료 정보 시스템들을 완벽히 통합하는 것이 필수적이고 이러한 통합의료정보시스템이 비로소 진료에 있어서의 의사결정 과정에 중추적으로 활용될 수 있는 것이다. 특히 의료영상을 다루는 PACS에서는 다른 종류의 의료정보시스템인 OCS(처방전달시스템)와의 연계가 매우 중요하다. 그러나 이러한 중요성에도 불구하고 병원의 전산시스템이 서로 호환되지 않음으로 인해 OCS/PACS 통합은 PACS 도입과정 중에서 가장 어려운 부분으로 인식되어 온 것이 사실이다. 이제까지의 PACS에 있어서는 대량의 영상 데이터를 고속으로 처리하기 위한 기술적인 문제에 주로 관심을 기울였으며 기존의 정보 시스템과의 연계 또는 통합문제는 충분히 고려되지 않았다. 그 결과 PACS를 도입한 병원에서는 기대와는 달리 PACS 운용을 위한 많은 인력소모가 뒤따르거나 운용에 차질을 빚는 등 여러가지 문제가 발생하게 되었다. 따라서 이제까지의 PACS 개발이 기술적인 문제 해결을 위한 방향 접근에서 이루어졌다면, 이제부터는 기술적인 해결을 바탕으로 하여 병원내의 임상운용환경에서 그 효율성을 최대화할 수 있기 위하여 기존 OCS/PACS의 통합 연계성을 주 관심으로 하는 임상적인 접근이 이루어져야 할 시점이라고 파악된다. 이와 같은 OCS/PACS의 통합은 병원 내에서 일어나는 일련의 진료 과정들에 있어서 문자정보뿐 아니라 영상정보까지를 포함하는 모든 진료정보의 관리와 전달을 컴퓨터화 함으로써 진료효율을 비약적으로 형상 시키는 효과를 가져올 수 있으므로 궁극적으로는 모든 병원의 정보시스템이 지향하는 목표이기도 하다. 따라서 OCS/PACS의 통합을 구현하기 위해서는 기존 방식과 OCS/PACS 통합 방식의 차이점이 분석 되어져야 하며 이러한 분석을 바탕으로 차후 병원에 도입되는 시스템이 안정적이고 완성도 높은 병원 정보화 시스템으로 구축 되어져야 하므로 이에 따른 통합 시스템에 대한 분석을 하고자 한다.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.3
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• pp.179-186
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• 2013

PACS is a medical system for digital medical images, and PACS expand to web-based service using public network, DICOM files should be protected from the man-in-the-middle attack because they have personal medical record. To solve the problem, we designed flexible secure transmission system using IPSec and adopted to a web-based three-dimensional medical image system. And next, we performed the performance evaluation changing integrity and encryption algorithm using DICOM volume dataset. At that time, combinations of the algorithm was 'DES-MD5', 'DES-SHA1', '3DES-MD5', and '3DES-SHA1, and the experiment was performed on our test-bed. In experimental result, the overall performance was affected by encryption algorithms than integrity algorithms, DES was approximately 50% of throughput degradation and 3DES was about to 65% of throughput degradation. Also when DICOM volume dataset was transmitted using secure transmission system, the network performance degradation had shown because of increased packet overhead. As a result, server and network performance degradation occurs for secure transmission system by ensuring the secure exchange of messages. Thus, if the secure transmission system adopted to the medical images that should be protected, it could solve server performance gradation and compose secure web PACS.

• Journal of the Korea Society of Computer and Information
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• v.14 no.12
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• pp.191-199
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• 2009

The integrated medical information system is an effective medical diagnosis assistance system which offers an environment in which medial images and diagnosis information can be shared. Because of the large-scale medical institutions and their cooperating organizations are operating the integrated medical information systems, they can share medical images and diagnosis information. However, this system can only stored and transmitted information without other functions. To resolve this problem and to enhance the efficiency of diagnostic activities, a medical image analysis system is necessary. In this paper, the proposed relationship method analyzes medical images for features generation. Under this method, the medical images have been segmented into several objects. The medical image features have been extracted from each segmented image. Then, extracted features were applied to the Relationship Method for medical image analysis. Several experimental results that show the effectiveness of the proposed method are also presented.

• 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.

• Proceedings of the Korea Contents Association Conference
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• 2009.05a
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• pp.828-832
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• 2009

In this paper we suggest the technique to improve the reliability of U-Health system. The idea is that a video recoding start at only the emergency data of patients. This technique reduces the reliability of U-Health system. In the suggested U-Health system based on video control technique, bio sensors are used to send the state information of patients to a server. The server analyzes the health state of patients from base nodes and start video recoding and sends the video information about the patients in the emergent state to the nearest hospital.