• Title/Summary/Keyword: 모아레 아티팩트

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Stationary and Moving Computed Radiography Grids : Comparative Observer's Perception (Computed Radiography에서 고정형 그리드와 이동형 그리드 영상의 인식률 비교)

  • Lee, Kiho;Lee, Changhoon;Jin, Gyehwan
    • Journal of the Korean Society of Radiology
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    • v.9 no.7
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    • pp.515-521
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    • 2015
  • This study assessed the degradation of image quality caused by grid artifacts and $moir{\acute{e}}$ pattern artifacts in a stationary grid, and the degradation of image quality caused by cut off artifacts in a moving grid. X-ray images were acquired in a stationary grid and a moving grid with X-ray exposure conditions of 100 cm, 80 kVp, and 30 mA using a CDRAD phantom and a 24 cm thickness acrylic phantom. Observer's perception of X-ray imaging using CDRAD Analyzer was mean 49.36, standard deviation 3.76, maximum 55.56, and minimum 38.67 in the stationary grid, and 47.04, 12.69, 55.56, and 20.89, respectively, in the moving grid. The stationary grid was superior to the moving grid in terms of the mean and standard deviation of observer's perception.

Comparison of Images Using Optimized Grid and Images Using Grid Supperession Software in the Diagnosis of Micro Lesions (미세병변 진단에서 Optimized Grid을 사용한 영상과 Grid Supperession Software를 사용한 영상의 비교분석)

  • Lee, Sang-Ho
    • Journal of radiological science and technology
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    • v.41 no.2
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    • pp.149-155
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    • 2018
  • Quantitative analysis was performed to confirm that moire artifact was removed without loss of image when using grid suppression software in the diagnosis of micro lesions. we showed that grid suppression images can be morphologically different from original images as they are significantly lower than those of the optimized grid in the similarity analysis with reference images in mammographic phantom images. We were confirmed that images of microcalcification with smaller signal than noise were lost because the pixel values of all lesions increased significantly after the grid suppression, The change in contrast using the NORMI 13 X-ray test phantom was reduced to 30% of the reference image, This result was significantly lower than the 90% when using the optimized grid. In conclusion, the use of grid suppression software in clinical images should be carefully considered because of the possibility of misdiagnosis due to micro lesion loss and morphological changes.