• Title/Summary/Keyword: 의료영상처리

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An Image-Based Annotation for DICOM Standard Image (DICOM 표준 영샹을 위한 이미지 기반의 주석)

  • Jang Seok-Hwan;Kim Whoi-Yul
    • Journal of Korea Multimedia Society
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    • v.7 no.9
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    • pp.1321-1328
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    • 2004
  • In this article, we present a new DICOM object able to create image-based annotations in DICOM image. Since the proposed image-based annotation uses images themselves of annotation, various types like character, sketch, and scanning image, etc., can be imported into annotation easily. The proposed annotation is inserted into DICOM image directly but they do not influence original DICOM image quality by using independent data channel. The proposed annotation is expected to be very useful to medium and small clinics that cannot afford picture archiving and communication systems or electronic medical record.

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A Study on Urine Analyzer Using Color Images of Strip (스트립의 컬러영상을 이용한 요 분석기에 관한 연구)

  • Cho, Yong-Hyun
    • Journal of the Korean Institute of Intelligent Systems
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    • v.17 no.7
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    • pp.919-923
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    • 2007
  • This paper presents an urine analyzer using color images of strip. An image sensor has been used to acquire an color images. The analyzer has a characteristics which takes a pictures of independent each pad responding to urine items all at once, and outputs the measured urine values by analysing an acquired pad colors. This device measures and analyses 11 urine items, and has a speed-up operation, light weight, small size, and makes accurate observations by processing the measured colors using processor. The urine analyzer transmits the urine items to peripheral devices, personal computers, hospitals, and another places by using a telegraph and a wireless interfaces.

a new distance weighted correlation method to evaluate reconstructed brain sources (복원된 뇌신호원의 국지화 정확도 평가를 위한 거리 가중치 유사도 비교법)

  • Choi, Jong-Ho;Park, Sun-Ae;Jung, Hyun-Kyo
    • Proceedings of the KIEE Conference
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    • 2011.07a
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    • pp.2027-2028
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    • 2011
  • 이 논문에서는 복원된 뇌신호원을 평가하는 방법 중의 하나로 거리 가중치 유사도 비교법을 제안한다. 의료영상처리 분야에서 시공간적인 뇌신경신호원의 변화를 비교 및 분석하기 위해서 여러 방법이 적용되고 있는데 가장 널리 사용되고 있는 것이 유사도 비교법이다. 본 논문에서는 1차원 기준으로 구성된 기존의 유사도 비교법을 3차원 뇌신호원 평가에 적합하도록 거리 가중치를 고려한 새로운 유사도 비교법을 제시한다. 또한 3차원 뇌신경신호원의 시뮬레이션을 통해 새로운 기법의 타당성을 검증한다.

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A study on the fitness measurement of artificial femur through medical image processing (의료영상처리를 이용한 인공고관절 정합도 측정 방법에 관한 연구)

  • 김용호;김중규
    • Proceedings of the IEEK Conference
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    • 1999.11a
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    • pp.1071-1074
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    • 1999
  • In this paper, we studied a computer based three dimensional implantation system of artificial hip joint. The system can be utilized for doctors to select a suitable artificial femur which is best-fit for the patient and to find out the optimal implanting position as well. We proposed a new numerical index to measure the fitness between the artificial hip joint and the patient's femur. The proposed fitness index accounts for the variance of the distance between the outer contours of artificial hip joint and the femur in addition to the conventional area comparison. A few simulation are run to show results of fitness measurement and compared to the conventional method.

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Volumetric Image System for High Efficiency Video Coding (고효율 비디오코딩을 위한 입체영상시스템)

  • Kim, Sang Hyun
    • The Journal of the Korea Contents Association
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    • v.16 no.1
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    • pp.515-520
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    • 2016
  • Volumetric image system has many applications recently in education, 3D movie, medical images but these applications have several problems that need to be overcome. Volumetric display may process a amount of visual data and design the high efficient vision system for realtime display. In case of stereo system for volumetric display motion vectors, disparity vectors from the stereoscopic sequences and residual images with the reference images has been transmitted, and the stereoscopic sequences have been reconstructed at the receiver for volumetric display. So central issue for the design of efficient volumetric image system lies in selecting an appropriate stereo matching and robust vision system. In this paper, we proposed high efficient vision system, which design vision stage with rotating and moving horizontally, and match the successive stereo image efficiently. In experimental results with volumetric image system, the proposed method represents high efficiency with minimizing error and low computational load for volumetric display.

The new fusion interpolation for high resolution depth image (고품질 및 고해상도 깊이 영상 구현을 위한 새로운 결합 보간법)

  • Kim, Jihyun;Choi, Jinwook;Ryu, Seungchul;Kim, Donghyun;Sohn, Kwanghoon
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2012.07a
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    • pp.40-43
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    • 2012
  • 3차원 영상 기술은 방송, 영화, 게임, 의료, 국방 등 다양한 기존 산업들과 융합하며 새로운 패러다임을 형성하고 있으며, 고품질 및 고해상도의 3차원 영상 획득에 대한 필요성이 강조되고 있다. 이에 따라, 최근에는 3차원 입체 영상을 제작 하는 방법 중 하나인 2D-plus-Depth 구조에 대한 연구가 활발히 진행되고 있다. 2D-plus-Depth 구조는 Charge-Coupled Device(CCD) 센서 등을 이용한 일반 카메라와 깊이 카메라를 결합한 형태로써 이 구조로부터 얻은 깊이 영상의 해상도를 상향 변환하기 위해서 Joint Bilateral Upsampling(JBU)[1], 컬러 영상의 정보를 활용한 보간법[2] 등의 방법들이 사용된다. 하지만 이 방법들은 깊이 영상을 높은 배율로 상향 변환할 경우 텍스처가 복사되거나 흐림 및 블록화 현상이 발생하는 문제점이 있다. 본 논문에서는 2D-plus-Depth 구조에서 얻은 고해상도 컬러 영상에서 보간 정보를 구하고 이 정보를 저해상도의 깊이 영상에 적용하여 상향 변환된 가이드 깊이 영상을 제작한다. 이 가이드 깊이 영상을 Bilateral Filtering[8]을 이용함으로써 고품질의 고해상도 깊이 영상을 획득한다. 실험 결과 제안하는 방법으로 해상도를 상향 변환을 할 경우에 기존의 보간법들에 비해 깊이 영상의 특성을 잘 보존함을 확인할 수 있고, 가이드 깊이 영상에 필터링을 처리한 결과가 JBU의 결과보다 향상됨을 확인할 수 있다.

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Medical Image Processing System for Morphometric and Functional Analysis of a Human Brain (인간 뇌의 형태적 및 기능적 분석을 위한 의료영상 처리시스템)

  • Kim, Tae-U
    • The Transactions of the Korea Information Processing Society
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    • v.7 no.3
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    • pp.977-991
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    • 2000
  • In this paper, a medical image processing system was designed and implemented for morphometric and functional analysis of a human brain. The system is composed of image registration, ROI(region of interest) analysis, functional analysis, image visualization, 3D medical image database management system(DBMS), and database. The software processes an anatomical and functional image as input data, and provides visual and quantitative results. Input data and intermediate or final output data are stored to the database as several data types by the DBMS for other further image processing. In the experiment, the ROI analysis, for a normal, a tumor, a Parkinson's decease, and a depression case, showed that the system is useful for morphometric and functional analysis of a human brain.

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Mixed Noise Reduction Filters for CR Images (CR X선 영상의 복합잡음 감소에 관한 연구)

  • Min, Jung-Whan;Jeong, Hea-Won;Kim, Jung-Min
    • Journal of radiological science and technology
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    • v.30 no.1
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    • pp.1-6
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    • 2007
  • This study is to decrease compound noise in x-ray films. This study compared Signal to noise ratio(SNR), Peak signal to noise ratio(PSNR), Mean square error(MSE) to surface of the earth. In addition, we evaluated noise elimination effect according to the kernel size of Median filter. This experiments show that some filters are useful by finding image that is near in circle image comparing circle picture with each processed picture. In noise power value, when cutoff frequency was compared with other filters of cutoff frequency. Cutoff frequency of $2/3\pi{\sim}3/4\pi$ is good and it shows good SNR and PSNR. Therefore, it can display high filter effect. As Median Filter's Kernel size grows SNR value gets bigger, which shows better filter effect. Most pictures are distorted after filter application in medical treatment image. It is important to keep spatial resolution in most medical images. Visual estimation as well as quantitative indicators should be necessary for a better image.

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A Study on the Design of Telemedicine System Using Image Division Communication (영상분할 통신을 이용한 원격진료시스템의 설계에 관한 연구)

  • Joung, Ki-Bong;Oh, Moo-Song
    • The KIPS Transactions:PartB
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    • v.9B no.3
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    • pp.287-292
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    • 2002
  • In general cases, the conventional internet connected to a terrestrial network is transmit too large medical images. To overcome this low speed transmitting rate problem of the interned, we have studied about an image division communication system as a fast telemedicine system. The image division communication system was 5-10 times faster than the conventional terrestrial internet link. Also we have developed a Web-based telemedicine system that can access every permitted server of hospitals via the internet. Studied image division communication corrected problem of other reflex quality decline in erratic transmission of reflex by transmission speed imbalance that is problem of single communication techniques that used in existing reflex transmission. Also, could keep quality state of fixed reflex gouge abnormal transmission speed. Visual Basic and C++, ASP programming techniques were used to make our system and it can access and retrieve medical information and image through only public web browse such as internet explorer without additional specific tools. To increase the transmitting speed of our telemedicine system, JPEG method was used. In conclusion, we were able to develop a fast and public telemedicine system using the proposed image division communication system and Web technology. Image division communication system technology increased the speed of the conventional internet and Web technology extended the scope of use for telemedicine system from intrahospital to public use.

A Study on the difference in the sharpness of venous images between individual algorithms and combinations (개별 알고리즘과 조합 간 정맥 영상의 선명화 차이에 관한 연구)

  • Jin-Hyoung Jeong
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.16 no.6
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    • pp.441-447
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    • 2023
  • Intravenous infusion therapy is a standard nursing procedure in medical institutions that provides patients with drugs, fluids, blood, and nutrients into the patient's mucus. It is mainly performed and managed by nurses. Additionally, it is an injection method that injects drugs directly into the blood vessels, and is used to achieve rapid results in emergency situations, and quick and accurate effects can be expected. Even experienced nurses through education and training often make mistakes, which can not only cause discomfort to patients but also cause various problems that threaten patient safety. Various studies are being conducted to reduce the pain caused by these mistakes. This paper acquired images of veins on the back of the hands of three subjects through an image detection device and conducted a study to derive an algorithm to provide clear vein images through image processing of the collected images. To sharpen the acquired vein images, existing algorithms Histogram Equalization, CLAHE, and Unsharp Masking were selected and combined. A histogram graph was used to compare images derived by applying individual algorithms and algorithm combinations to images. The histogram graph was checked by calculating the difference between the minimum and maximum values of distributed pixels and averaging them. The algorithm combination presented in this paper was 209.1, which was higher than the average values of individual algorithms of 138.7, 132.3, and 126.2, and it was confirmed that visibility was good even in actual images.