• Title/Summary/Keyword: X-Ray image

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Aerial image analysis of replicated linewidths patterned by synchrontron X-ray proximity lithography (싱크로트론 X선 근접 리소그래피에 의하여 전사되어진 라인의 폭에 대한 에어리얼 이미지 시뮬레이션)

  • 이재웅;서용덕;김오윤;최보경;김희상
    • Journal of the Korean Institute of Telematics and Electronics D
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    • v.35D no.2
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    • pp.70-77
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    • 1998
  • An aerial image simulator for the synchroton X-ray proximity lithography system has been developed. The modal expansion method and Rayleigh-Sommerfeld diffraction theory are used in calculating the aerial image which is formed by diffracting of the partially coherent X-ray, Experimental results of PALC(POSTECH Advanced Lithography Center) lighography system and simulated results are compared. The experimental and theoretical values of the width of replicated lines are consisted with the relative error less than ~5%. The method to determine the divergent angle of X-ray from the analysis of the width of replicated lines is given.

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Comparison and analysis of chest X-ray-based deep learning loss function performance (흉부 X-ray 기반 딥 러닝 손실함수 성능 비교·분석)

  • Seo, Jin-Beom;Cho, Young-Bok
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.8
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    • pp.1046-1052
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    • 2021
  • Artificial intelligence is being applied in various industrial fields to the development of the fourth industry and the construction of high-performance computing environments. In the medical field, deep learning learning such as cancer, COVID-19, and bone age measurement was performed using medical images such as X-Ray, MRI, and PET and clinical data. In addition, ICT medical fusion technology is being researched by applying smart medical devices, IoT devices and deep learning algorithms. Among these techniques, medical image-based deep learning learning requires accurate finding of medical image biomarkers, minimal loss rate and high accuracy. Therefore, in this paper, we would like to compare and analyze the performance of the Cross-Entropy function used in the image classification algorithm of the loss function that derives the loss rate in the chest X-Ray image-based deep learning learning process.

Detection of Pulmonary Nodules' Shadow on Chest X-ray Image (흉부 X선 영상에 있어서 폐 종류 음영의 검출)

  • Kim, Eung-Kyeu;Lee, Do-Kyeom
    • Proceedings of the IEEK Conference
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    • 2007.07a
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    • pp.293-294
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    • 2007
  • The purpose of this study is prove the effectiveness of an energy subtraction image for the detection of pulmonary nodules and the effectiveness of multi-resolutional filter on an energy subtraction image to detect pulmonary nodules. Also we study influential factors to the accuracy of detection of pulmonary nodules from viewpoints of types of images, types of digital filters and types of evaluation methods. As one type of images, we select an energy subtraction image, which removes bones such as ribs from the conventional X-ray image by utilizing the difference of X-ray absorption ratios at different energy between bones and soft tissue. Here we select two evaluation methods and make clear the effectiveness of multi-resolutional filter on an energy subtraction image.

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X-ray Image Histogram Equalization based on Understanding of Background Information (배경 정보 파악을 통한 X-ray 영상 히스토그램 평활화)

  • Kang, Young-Min;Lee, Kyung-Jun;Jeong, Je-Chang
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2014.11a
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    • pp.283-286
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    • 2014
  • X-ray 영상의 경우 검은 배경으로 인해 기존의 히스토그램 평활화를 사용하여 대비비를 향상 시킬 경우 문제가 발생한다. 전역 히스토그램 평활화의 경우 영상의 특징을 고려하지 않은 채 전체적으로 히스토그램 평활화가 이루어지기 때문에 부분적인 명암값을 개선시키기 어렵다. BBHE(Bright Preserving Bi-Histogram Equalization)과 DSIHE(Dualistic Sub-Image Histogram Equalization)과 같은 영역별 히스토그램 평활화의 경우 X-ray 사진특성상 검은 배경으로 인하여 히스토그램 평활화를 적용해도 원하는 대비비를 얻기 힘들며 부분적으로 왜곡이 발생한다. 이러한 문제를 해결하기 위해 본 논문에서는 영상의 히스토그램을 통해 배경 정보를 파악하여 밝기 영역을 나눈 후 히스토그램 평활화를 진행함으로써 X-ray 사진의 대비비를 효율적으로 향상시킨다.

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Studios in Selected Grid Ratio of Objective Thickness on X-ray Exposure (X선촬영시(X線撮影時) 피사체(被寫體) 두께에 따른 격자비(格子比) 선정(選定)에 관한 연구(硏究))

  • Yoon, Chul-Ho;Chu, Sung-Shil;Huh, Joon
    • Journal of radiological science and technology
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    • v.5 no.1
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    • pp.21-34
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    • 1982
  • When unattenuated x-ray radiation passes through the object it is transmitted and scattered from objectes and impinging on the film. During this process certain radiation is absorbed within the object and others transmitted in reduced scattering. The scattering radiation influence upon radiation image quality, confining x-ray beam which means scattering radiation produce increased fog on x-ray film image and as a consequence decrease contrast and less detail of the film there for the elimination of fog and for absorbing scattered radiation, the grid has been used between the object and the film in order to rid of scattering rays. Using grid is good method for the qualification of the better image as well as in using air gap technique. The grid is easy to manipulate and promote good efficiency which is defined by ICRU and JIS. It is the purpose to study for eliminating scattered radiation from the tissue equivalent acryl phantom using grid, we have studied and evaluated the grid permeability about the x-ray exposure, the selection of grid ratio according to phantom thickness, on x-ray exposure are performed as follows. 1. The penetrating ratio of primary x-ray is remarkably decreased by increasing of the grid ratio, but it is almost not influenced in KVP difference and phantom thickness. 2. The scattered radiation is proportionaly increased by thickness of the phantom, having nothing to do with grid ratios. 3. The relative between the penetration rate of primary and secondary x-ray is improved by increasing grid ratio, and decreased by phantom thickness, and slightly decreased by high tube voltage. 4. The grid of 5:1 and 10:1 ratio are adequate to the phantom of 10cm and 15cm thickness, respectively.

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Evaluation Method of Rock Characteristics using X-ray CT images (X-ray CT 이미지를 이용한 암석의 특성 평가 방안)

  • Kim, Kwang Yeom;Yun, Tae Sup
    • Tunnel and Underground Space
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    • v.29 no.6
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    • pp.542-557
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    • 2019
  • The behavior of rock mass is influenced by its microscopic feature of internal structure generating from forming and metamorphic process. This study investigated a new methodology for characterization of rock based on the X-ray CT (computed tomography) images reflecting the spatial distribution characteristics of internal constituent materials. The X-ray image based analysis is capable of quantification of heterogeneity and anisotropy of rock fabric, size distribution and shape parameter analysis of rock mineral grains, fluid flow simulation based on pore geometry image and roughness evaluation of unexposed joint surface which are hardly acquired by conventional rock testing methods.

X-ray Image Processing for the Korea Red Ginseng Inner Hole Detection ( I ) - Preprocessing technique for inner hole detection - (홍삼 내공검출을 위한 X-선 영상처리기술(I) - 내공검출에 적합한 전처리기법 -)

  • 손재룡;최규홍;이강진;최동수;김기영
    • Journal of Biosystems Engineering
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    • v.27 no.4
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    • pp.341-348
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    • 2002
  • Quality evaluation of red ginsengs is determined by outer shape and inner qualities. Especially, the inner qualities are main grading criteria. Currently, red ginsengs are classified into 3-grades; heaven, earth and good. The best heaven grade must not include inner holes and sponge tissues. This study was conducted to develop a red ginseng sorting system using x-ray image processing technique. Because of lens characteristic, gray values of the central region in the x-ray image are higher and gradually decreased towards the edge regions. This difference of gray values gives trouble in segmentation and detection of inner holes in red ginseng image, so preprocessing technique is necessary. The preprocessing was done by subtracting source image from an empty background image. But, simple subtraction was not quite appropriate because of too small contrast between inner holes and sound part. Scaled subtraction images were obtained by multiplying all gray values by some numbers. However this method could not help to set threshold value because the gray values of root part are generally lower than body part when red ginseng is exposed to the x-ray. To determine threshold value for detecting inner holes, an algorithm was developed by increasing overall gray values of less clear images.

Noise Reduction of medical X-ray Image using Wavelet Threshold in Cone-beam CT (Cone-beam CT에서 웨이브렛 역치값을 이용한 x-ray 영상에서의 노이즈 제거)

  • Park, Jong-Duk;Huh, Young;Jin, Seung-Oh;Jeon, Sung-Chae
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.44 no.6
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    • pp.42-48
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    • 2007
  • In x-ray imaging system, two kinds of noises are involved. First, the charge generated from the radiation interaction with the detector during exposure. Second, the signal is then added by readout electronics noise. But, x-ray images are not modeled by Gaussian noise but as the realization of a Poisson process. In this paper, we apply a new approach to remove Poisson noise from medical X-ray image in the wavelet domain, the applied methods shows more excellent results in cone-beam CT.

Acquisition and application of digital medical image in radiology (디지털 방사선 의료영상획득과 적용)

  • ;Nam, Sang Hee
    • 제어로봇시스템학회:학술대회논문집
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    • 1997.10a
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    • pp.1528-1535
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    • 1997
  • Many radiological modalities has been applied to medicine as a basic fundamental diagnosis and therapy recently. The prevalence of computer systems affect most images to be digitized. However conventional X-ray film images are not digital images eventhough they covers 70% of all radiologica images. This is the hinderacne of building PACS. In this paper all radiological digital imaging parts such as DSA. CR. MRI. SPECT. PET and ultrasonography were briefly introduced and the applications were described. In brief digital radiography contribute to enhance the medical service quality. And the digital substituition of conventional X-ray film image is inevitable.

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The study of the stereo X-ray system for automated X-ray inspection system using 3D-reconstruction shape information (3차원 형상복원 정보 기반의 검색 자동화를 위한 스테레오 X-선 검색장치에 관한 연구)

  • Hwang, Young-Gwan;Lee, Nam-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.18 no.8
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    • pp.2043-2050
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    • 2014
  • As most the scanning systems developed until now provide radiation scan plane images of the inspected objects, there has been a limitation in judging exactly the shape of the objects inside a logistics container exactly with only 2-D radiation image information. As a radiation image is just the density information of the scanned object, the direct application of general stereo image processing techniques is inefficient. So we propose that a new volume-based 3-D reconstruction algorithm. Experimental results show the proposed new volume based reconstruction technique can provide more efficient visualization for X-ray inspection. For validation of the proposed shape reconstruction algorithm using volume, 15 samples were scanned and reconstructed to restore the shape using an X-ray stereo inspection system. Reconstruction results of the objects show a high degree of accuracy compared to the width (2.56%), height (6.15%) and depth (7.12%) of the measured value for a real object respectively. In addition, using a K-Mean clustering algorithm a detection efficiency of 97% is achieved. The results of the reconstructed shape information using the volume based shape reconstruction algorithm provide the depth information of the inspected object with stereo X-ray inspection. Depth information used as an identifier for an automated search is possible and additional studies will proceed to retrieve an X-ray inspection system that can greatly improve the efficiency of an inspection.