• Title/Summary/Keyword: 의료 영역

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Effective Object Recognition based on Physical Theory in Medical Image Processing (의료 영상처리에서의 물리적 이론을 활용한 객체 유효 인식 방법)

  • Eun, Sung-Jong;WhangBo, Taeg-Keun
    • The Journal of the Korea Contents Association
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    • v.12 no.12
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    • pp.63-70
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    • 2012
  • In medical image processing field, object recognition is usually processed based on region segmentation algorithm. Region segmentation in the computing field is carried out by computerized processing of various input information such as brightness, shape, and pattern analysis. If the information mentioned does not make sense, however, many limitations could occur with region segmentation during computer processing. Therefore, this paper suggests effective region segmentation method based on R2-map information within the magnetic resonance (MR) theory. In this study, the experiment had been conducted using images including the liver region and by setting up feature points of R2-map as seed points for 2D region growing and final boundary correction to enable region segmentation even when the border line was not clear. As a result, an average area difference of 7.5%, which was higher than the accuracy of conventional exist region segmentation algorithm, was obtained.

X-ray Medical Image Spatio-temporal Denoising Algorithm (엑스선 의료영상의 시공간 잡음제거 알고리즘)

  • Park, Sangwook;Joo, Hui Jin;Sohn, Jeongwoo
    • Annual Conference of KIPS
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    • 2016.10a
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    • pp.685-686
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    • 2016
  • 엑스선 투시촬영장치와 같은 의료용 동영상의 잡음 제거에 있어서 시공간 잡음제거 알고리즘을 제안한다. 제안된 알고리즘에서는 무한 충격 응답 기반 시간 영역 잡음 제거 얄고리즘을 도입하여 움직임이 적은 영역에서는 자연스러운 잡음 제거가 가능하며 움직임이 많은 영역에서는 연산량 측면에서 효율성을 고려하여 지역적 평균 필터 기반 공간 잡음 제거 알고리즘을 적용하여 움직임에 의한 흐려짐 열화 현상을 최소화 하면서 잡음 제거를 수행하였다.

Medical Image Compression in the Wavelet Transform Domain (Wavelet 변환 영역에서 의료영상압축)

  • 이상복;신승수
    • The Journal of the Korea Contents Association
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    • v.2 no.4
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    • pp.23-29
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    • 2002
  • This paper suggest the image compression that is needed to process PACS in medical information system. The image decoding method is used Linear-predictor and Lloyd-Max quantizer(quantization) in the Wavelet transform domain. Wavelet Transform Method is processed the multi-resolution by dividing image into 10 sub-bands of 3 levels. Low frequency domain that is sensitive to human visual characteristic is encoded by DPCM which is lossless encoding methods, and Lloyed-Max quantizer, the optimal quantizer for reducing ringing and aliasing in the image of inter sub-band, is used in the remaining high frequency domain of sub-band. The examination verifies that decompressed images are superior by the result that PSNR is 28.53dB on the input image, 512$\times$152 abdominal CT image and Chest image.

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Real-time Bleeding Animation for Virtual Surgery Medical Simulation (가상 수술 의료 시뮬레이션을 위한 실시간 출혈 애니메이션 기법)

  • Lee, Jeong-Jin;Seo, Che-Hwan;Lee, Ho;Kye, Hee-Won;Lee, Min-Sun
    • Journal of Korea Multimedia Society
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    • v.15 no.5
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    • pp.664-671
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    • 2012
  • Recently, practice education using virtual medical simulation has been applied to real clinical environment by enhancing the learning efficiency. Specially, in minimally invasive surgery, the necessity of virtual surgery medical simulation has been increased. Realistic bleeding animation, which represents bleeding special effects frequently occurred in virtual medical simulation environment, has not been proposed yet. In this paper, we propose realistic real-time bleeding animation. For bleeding simulation, proposed method calculates main and effective bleeding regions along the main bleeding direction vector to represent naturalistic bleeding effect. In addition, for bleeding rendering, proposed method uses sigmoid function to impose weights of vertex opacities for the smooth opacity change so that the results of bleeding animation is realistic. Proposed method improves the sense of the real and absorption in virtual surgery medical simulation so that the education efficiency of doctors and students using medical simulation can be enhanced.

A comparative study on the consciousness of bio-medical ethics of nursing and non-nursing students (간호과와 비 간호과 학생의 생명의료윤리 의식 비교)

  • Cho, Mee-Kyung
    • Journal of Digital Convergence
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    • v.11 no.4
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    • pp.311-320
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    • 2013
  • The purpose of this study was to identify consciousness of bio-medical ethics of nursing and non-nursing students. The total mean scores of consciousness of bio-medical ethics between nursing(3.04/4) and non-nursing(2.88/4) were significantly different(t=6.79, p<.001). There were statistically significant differences between two groups in sub-categories of consciousness of bio-medical ethics: right to life of fetus, prenatal diagnosis of fetus, right to life of newborn, euthanasia, organ transplantation, brain death. The major predicting factors for consciousness of bio-medical ethics were experience of studying for biomedical ethics over 1 semester, experience of conflict for biomedical ethic problem, and ethical attitude in nursing department. Study results indicate that appropriate and various teaching-learning method for education of each department is deeded according to move up into a higher class with consciousness of bio-medical ethics, ability of decision making, critical thinking.

Design and Implementation of Brain MR Image Processing Tool (뇌 MR 영상처리기의 설계 및 구현)

  • 조경은;송미영;조형제
    • Proceedings of the Korea Multimedia Society Conference
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    • 2001.11a
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    • pp.159-164
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    • 2001
  • 본 연구에서 설계하고 구현한 뇌 MR영상 처리기에서는 뇌 MR 영상에서 진단에 필요한 정보들을 자동 추출한다. 의료영상 처리 시에는 수집된 의료영상의 특징을 분석하고 특징들을 분류해야 하며 이를 위해서는 효율적인 특징 추출 알고리즘들 필요하다. 뇌 MR 영상 처리기는 영상의 잡음제거나 영상 강화를 위한 전처리기, 영상의 특징을 추출하기 위한 영역분할기와 전역, 지역 특징 추출기로 구성된다. 뇌 MR 영상 특징 추출을 위한 효율적인 의료영상 처리기의 개발 내용을 기술한다.

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Feature extraction of medical image using GLCM (GLCM을 이용한 의료영상 특징정보 추출)

  • Park, Yong Sung;Jeong, Su Young;Kim, Wook;Lim, Ilhan;Kang, Joo Hyun;Lim, Sang Moo;Woo, Sang-Keun
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2017.01a
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    • pp.239-240
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    • 2017
  • 본 연구는 의료영상내 특징정보를 추출 및 평가함으로서 정밀의료 실현 가능성을 확인하고자 하였다. 영상화는 PET/CT 및 MRI 스캐너를 이용하여 암환자의 기능적 정보와 해부학적 정보를 획득하고 관심영역을 설정하였으며 각각의 영상내 특징정보를 추출하였다. 영상내 특징정보는 GLCM을 이용하여 에너지, 대비, 엔트로피, 균질성을 획득하였고, 획득된 영상 데이터에 따른 관심영역 설정 차이를 확인하였다. 영상내 특징 정보는 MRI 영상의 해부학적 정보를 이용한 분석결과에서 엔트로피 및 균질성이 PET 보다 증가 하였고 대비는 감소함을 확인하였다. 추후연구는 다양한 영상내 특징 정보를 획득하고 정밀의료를 위한 기계학습에 활용할 예정이다.

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A Study on Medical Serious Game: Classification & Possibility (의료용 기능성 게임에 대한 고찰)

  • Woo, Tack;Yeom, Jin
    • Journal of Korea Game Society
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    • v.12 no.2
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    • pp.91-99
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    • 2012
  • The purpose of this paper is to study and suggest a new classification method of the medical serious games which take the second major part of serious games after the educational games. Based on the classification suggested, various possibilities of medical serious games are suggested. Especially, how movement based language and contents can be used on various kind of medical serious games such as rehabilitation and cognitive behavioral therapy is explored.

Interframe Coding for 3-D Medical Images Using an Adaptive Mode Selection Technique in Wavelet Transform Domain (웨이블릿 변환 영역에서의 적응적 모드 선택 기법을 이용한 3차원 의료 영상을 위한 interframe 부호화)

  • 조현덕;나종범
    • Journal of Biomedical Engineering Research
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    • v.20 no.3
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    • pp.265-274
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    • 1999
  • In this paper, we propose a novel interframe coding algorithm especially appropriate for 3-D medical images. The proposed algorithm is based on a video coding algorithm using motion estimation/ compensation and transform coding. In the algorithm, warping is adopted lor motion compensation (MC). Then, by using adaptive mode selection, a motion compensated residual image and original image are mixed up in the wavelet transform domain for improvement in coding performance. The mixed image is then compressed by the zerotree coding method. We prove that the adaptive mode selection technique in the wavelet transform domain is very useful lor 3-D medical image coding. Simulation results show that the proposed scheme provides good performance regardless of inter-slice distance and is prospective for 3-D medical image compression.

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Service Quality of Dental Institutes Measured by SERVQUAL Model and Intention to Re-visit (SERVQUAL 모형으로 측정한 일부 치과의원의 서비스 질과 재이용의도)

  • Jun, Mee-Jin;Noh, Eun-Kyung
    • Journal of dental hygiene science
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    • v.10 no.1
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    • pp.55-61
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    • 2010
  • The main purpose of this study was to identify the service quality of some dental clinics located in Gwangju and find an association between service quality and patient's intention to re-visit the same dental clinic. The search objects were 197 patients from five dental clinics, and data collected by self-administered questionnaire which was composed general characteristics, characteristics relating to visit of clinics, quality of service, patients satisfaction and intentions to re-visit. The used statistical analysis to find the association between quality of service and intention to re-visit was multiple regression analysis. This study looked at relations between quality of dental service, service satisfaction and intentions to visit again, and found that quality of service including six service areas had a statistically significant positive correlations with satisfaction and intentions of re-visit. When this study conducted a multiple regression analysis to identify variables that influence intentions of re-visit, it found that patients revisited the dental clinic only when quality of service was included. In conclusion, quality of service evaluated by patients influenced on their intention of re-visit and especially. Therefore, this study concludes that improvement in satisfaction and intentions of re-visit relies on Accessibility, that is, providing of medical information, consultant telephone, how delivery the dental medical system is. Service quality of dental institutes measured by SERVQUAL model and intention to re-visit.