• Title/Summary/Keyword: 영상 대조

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Adaptive Contour Smoothing Based on Inter-region Contrast (영역간 대조를 이용한 적응적 윤곽선 평활화)

  • 이시웅;김차종;이정환
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2003.10a
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    • pp.122-125
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    • 2003
  • An adaptive contour smoothing algorithm designed as a preprocessor for shape coders is presented. In the proposed method, the degree of the adaptive smoothing is controlled based on the significance of each contour point, which is quantified according to inter-region contrast in an intensity image. The actual smoothing consists of an expansion operator and a thinning algorithm. Experimental results show that the proposed method results in a saving of about 20% in number of coded bits with a negligible additional texture degradation in the reconstructed intensity image.

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Quantitative Analysis of Spatial Resolution for the Influence of the Focus Size and Digital Image Post-Processing on the Computed Radiography (CR(Computed Radiography)에서 초점 크기와 디지털영상후처리에 따른 공간분해능의 정량적 분석)

  • Seoung, Youl-Hun
    • Journal of Digital Convergence
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    • v.12 no.11
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    • pp.407-414
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    • 2014
  • The aim of the present study was to carry out quantitative analysis of spatial resolution for the influence of the focus size and digital image post-processing on the Computed Radiography (CR). The modulation transfer functions of an edge measuring method (MTF) was used for the evaluation of the spatial resolution. The focus size of X-ray tube was used the small focus (0.6 mm) and the large focus (1.2 mm). We evaluated the 50% and 10% of MTF for the enhancement of edge and contrast by using multi-scale image contrast amplification (MUSICA) in digital image post-processing. As a results, the edge enhancement than the contrast enhancement were significantly higher the spatial resolution of MTF 50% in all focus. Also the spatial resolution of the obtained images in a large focus were improved by digital image processing. In conclusion, the results of this study should serve as a basic data for obtain the high resolution clinical images, such as skeletal and chest images on the CR.

MR Imaging of the Kidney (신장의 자기공명영상)

  • 김승협
    • Investigative Magnetic Resonance Imaging
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    • v.2 no.1
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    • pp.39-49
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    • 1998
  • 신장질환의 자기공명영상은 영상시간이 단축되면서 이용이 확대되고 있다. 다른 영상진단법에 비하여 높은 연부조직대조도, 다면영상능, MRI용 조영제의 안전성 등의 장점에도 불구하고 신장질환의 영상진단에 있어서 아직은 일반적으로 초음파검사와 CT의 보조적 역할을 하고 있는 것이 사실이다. 그러나 선택적으로는 MRI로만 평가할 수 있는 소견들이 신장질환의 진단에 도움이 되기도 한다.

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A Study of Scattered Radiation Effect on Digital Radiography Imaging System (디지털 방사선영상 시스템에서 산란선이 영상 품질에 미치는 영향)

  • Baek, Cheol-Ha
    • Journal of radiological science and technology
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    • v.40 no.1
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    • pp.71-78
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    • 2017
  • Scattered radiation is inherent phenomenon of x-ray, which occurs to the subject (or patient). Therefore it cannot be avoidable but also interacts as serious noise factor because the only meaningful information on x-ray radiography is primary x-ray photons. The purpose of this study was to quantify scattered radiation for various shooting parameters and to verify the effect of anti-scatter grid. We employed beam stopper method to characterize scatter to primary ratio. To evaluate effect on the projection images calculated contrast to noise ratio of given shooting parameters. From the experiments, we identified the scattered radiation increases in thicker patient and smaller air gap. Moreover, scattered radiation degraded contrast to noise ratio of the projection images. We find out that the anti-scatter grid rejected scattered radiation effectively, however there were not fewer than 100% of scatter to primary ratio in some shooting parameters. The results demonstrate that the scattered radiation was serious problem of medical x-ray system, we confirmed that the scattered radiation was not considerable factor of dig ital radiog raphy.

Simulation and Measurement of Signal Intensity for Various Tissues near Bone Interface in 2D and 3D Neurological MR Images (2차원과 3차원 신경계 자기공명영상에서 뼈 주위에 있는 여러 조직의 신호세기 계산 및 측정)

  • Yoo, Done-Sik
    • Progress in Medical Physics
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    • v.10 no.1
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    • pp.33-40
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    • 1999
  • Purpose: To simulate and measure the signal intensity of various tissues near bone interface in 2D and 3D neurological MR images. Materials and Methods: In neurological proton density (PD) weighted images, every component in the head including cerebrospinal fluid (CSF), muscle and scalp, with the exception of bone, are visualised. It is possible to acquire images in 2D or 3D. A 2D fast spin-echo (FSE) sequence is chosen for the 2D acquisition and a 3D gradient-echo (GE) sequence is chosen for the 3D acquisition. To find out the signal intensities of CSF, muscle and fat (or scalp) for the 2D spin-echo(SE) and 3D gradient-echo (GE) imaging sequences, the theoretical signal intensities for 2D SE and 3D GE were calculated. For the 2D fast spin-echo (FSE) sequence, to produce the PD weighted image, long TR (4000 ms) and short TE$_{eff}$ (22 ms) were employed. For the 3D GE sequence, low flip angle (8$^{\circ}$) with short TR (35 ms) and short TE (3 ms) was used to produce the PD weighted contrast. Results: The 2D FSE sequence has CSF, muscle and scalp with superior image contrast and SNR of 39 - 57 while the 3D GE sequence has CSF, muscle and scalp with broadly similar image contrast and SNR of 26 - 33. SNR in the FSE image were better than those in the GE image and the skull edges appeared very clearly in the FSE image due to the edge enhancement effect in the FSE sequence. Furthermore, the contrast between CSF, muscle and scalp in the 2D FSE image was significantly better than in the 3D GE image, due to the strong signal intensities (or SNR) from CSF, muscle and scalp and enhanced edges of CSF. Conclusion: The signal intensity of various tissues near bone interface in neurological MR images has been simulated and measured. Both the simulation and imaging of the 2D SE and 3D GE sequences have CSF, fat and muscle with broadly similar image intensity and SNR's and have succeeded in getting all tissues about the same signal. However, in the 2D FSE sequence, image contrast between CSF, muscle and scalp was good and SNR was relatively high, imaging time was relatively short.

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Adaptive Retinex Algorithm using Skewness for Contrast Enhancement (대조비 개선을 위한 비대칭도 특성을 이용한 적응적인 레티넥스 방식)

  • Oh, Jong Geun;Hong, Min-cheol
    • Journal of the Institute of Electronics and Information Engineers
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    • v.53 no.10
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    • pp.77-83
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    • 2016
  • This paper presents an adaptive retinex algorithm using skewness for contrast enhancement of color images. In order to estimate the degree of low contrast of an image, skewness of luminance of an observed image is used to define a parameter, and a non-linear function is proposed to compensate the reflectance using the parameter and estimated reflectance. In addition, determination of gain and offset of the non-linear function is addressed using statistics of the estimated reflectance. The relation between an observed luminance and the compensated luminance is used to compensate color components with the reduction of computational cost. The experimental results show that the proposed algorithm has the capability to effectively improve the contrast without color distortion.

기능적 자기공명영상에 나타난 숫자연산의 대뇌 활성화 연구

  • 유재욱;이홍재;이동훈;문찬홍;이은정;나동규
    • Proceedings of the KSMRM Conference
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    • 2001.11a
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    • pp.103-103
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    • 2001
  • 목적: 기능적 자기공명영상을 이용하여 숫자 연산과 연관된 뇌영역을 알아보고자 하였다. 대상 및 방법: 정상 성인 자원자 6명을 대상으로 연산과제를 이용하여 연산과제와 관계된 대뇌영역 꼭 활성화를 유도하였다. 실험은 실험 I과 실험II로 나누어 진행하였다. 실험 I에서 연산과제는 스크린을 통해 보여주고 계산식이 맞는지를 판단하여 신호하도록 하였고[예:(4+5)$\times$8=72], 대조과제는 십자모양을 집중하여 보도록 하였다. 실험II에서 연산과제는 실험 I과 동일하였고, 대조과제는 화면에 제시되는 세 개의 수가 모두 홀수 또는 짝수일 때 신호하도록 하였다. 기능적 자기공명영상은 1.5T 초전도 자기공명영상장치에서 EPI BOLD 기법을 이용하여 얻었으며 6명에서 얻은 영상을 정상화(normalize)한 후 SPM 프로그램을 이용하여 통계분석을 하였다. 활성화된 뇌 영역은 모형뇌에 지도화하여 두 과제에서 활성화된 뇌 영역을 비교 분석하였다.

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Quantification of Salivary Gland Scan Image and its Correlation with Salivary Flow Rate (타액선 스캔의 정량적 분석과 타액분비율과의 상관관계에 관한 연구)

  • Kim, Sung-Hun;Kim, Youn-Joong;Chung, Sung-Chang
    • Journal of Oral Medicine and Pain
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    • v.26 no.3
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    • pp.215-224
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    • 2001
  • 서울대학교 치과병원 구강진단과에 구강건조증을 주소로 내원한 환자중 비자극 전타액 분비율이 0.2ml/min이하인 환자 40명과 구강건조증의 증상 및 징후가 없고 정상 타액분비율을 보이는 10명을 대상으로 비자극 전타액 분비율을 측정하고 타액선 스캔 검사를 실시하여 주타액선의 스캔 영상을 정량화한 후 이의 상관관계를 조사한 결과 다음과 같은 결론을 얻었다. 1. 구강건조증 환자군 및 정상 대조군에서 타액선 스캔 영상의 정량적 분석시 이하선 및 악하선 모두에서 좌우측 사이의 유의성 있는 차이가 없었다. 2. 타액선 스캔 영상의 정량적 분석시 구강건조증 환자군은 대조군에 비하여 악하선, 이하선 및 악하선의 합, 양측 악하선 합에서 유의한 차이를 보였다. 3. 대조군에서 타액선 스캔 영상의 정량적 수치와 비자극 전타액 분비율과는 유의성 있는 상관관계가 관찰되지 않았으나, 구강건조증 환자군에서는 유의성 있는 상관관계가 관찰되었다. 4. 구강건조증 환자군을 비자극성 전타액 분비율에 따라 세분하였을 때, 비자극 전타액 분비의 감소가 극심하여 그 측정이 불가능하였던 군은 대조군 및 나머지 구강건조증 환자군에 비하여 타액선 스캔 영상의 정량적 수치에서 유의한 차이를 보였다.

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Effect of Smart Phone Video Educational Program on Disease-related Knowledge and Anxiety in Patients with Coronary Artery Disease (관상동맥질환자를 위한 스마트폰 동영상 교육프로그램이 질병관련지식과 불안에 미치는 효과)

  • Kim, Hyun;Choi, Jin-Sook;Hwang, Eun-Hee
    • Journal of Digital Convergence
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    • v.15 no.5
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    • pp.391-400
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    • 2017
  • The purpose of this study was to investigate the effects of smart phone video educational program on disease-related knowledge and anxiety in patients with coronary artery disease. A quasi-experimental study used a non-equivalent control group pre-post test design. A smart phone video educational program was developed and offered to the experimental group. Participants were drawn from a inpatient ward. Twenty eight were selected for the experimental group while 30 were assigned to a control group. The results of this study were as followed: Disease-related knowledge in the experimental group showed a significant increase after smart phone video education compared with the control group. But the score of anxiety did not show a significant difference between experimental and control group. Thus, it is necessary to develop interventions considering both educational and psychological factors at the same time for the patients with coronary artery disease.

Key Frame Detection Using Contrastive Learning (대조적 학습을 활용한 주요 프레임 검출 방법)

  • Kyoungtae, Park;Wonjun, Kim;Ryong, Lee;Rae-young, Lee;Myung-Seok, Choi
    • Journal of Broadcast Engineering
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    • v.27 no.6
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    • pp.897-905
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    • 2022
  • Research for video key frame detection has been actively conducted in the fields of computer vision. Recently with the advances on deep learning techniques, performance of key frame detection has been improved, but the various type of video content and complicated background are still a problem for efficient learning. In this paper, we propose a novel method for key frame detection, witch utilizes contrastive learning and memory bank module. The proposed method trains the feature extracting network based on the difference between neighboring frames and frames from separate videos. Founded on the contrastive learning, the method saves and updates key frames in the memory bank, witch efficiently reduce redundancy from the video. Experimental results on video dataset show the effectiveness of the proposed method for key frame detection.