Journal of radiological science and technology (대한방사선기술학회지:방사선기술과학)

Korean Society of Radiological Science (대한방사선과학회)
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Image Analysis of Micro Lesions According to Grid Frequency After Removal of Moire Artifact

Moire artifact 제거 후 그리드 주파수에 따른 미세병변의 영상분석

  • Lee, Sang-Ho (Glocal industry University cooperation department, Sun Moon University) ;
  • Kim, Gyoo-Hyung (Department of Radiology, MyongJi Hospital) ;
  • Yang, Oh-Nam (Department of Radiology, Mokpo Science University)
  • 이상호 (선문대학교 글로컬 산학협력학부) ;
  • 김규형 (명지병원 영상의학과) ;
  • 양오남 (목포과학대학교 방사선과)
  • Received : 2018.04.09
  • Accepted : 2018.09.29
  • Published : 2018.10.31
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Abstract

Morphological information such as shape and margin of micro lesion is important information for diagnosis of disease in clinical imaging. In this study, we investigated the morphological changes of the micro lesions by comparing the contrast and area in grid suppressed DR images according to grid frequency. In the profile analysis of the image, the mass showed an average intensity variation of 8.6 ~ 72.4 after suppression, The higher the grid frequency, the more the contrast was increased. However, in the images obtained using 103 lp / inch, which is a grid frequency less than the sampling frequency, the contrast of the mass in the vertical direction decreased after suppression. In the binary image, the area change of the mass was also large. As a result, the shape, size, and margin of the mass changed. In the case of very small calcification, the higher the grid frequency is the larger the change in contrast, so that a clear image can be obtained in the post-suppression image. However, we could confirm that the margin of the lesion was blurred and the lesion was lost in some of the images using the 103 lp / inch grid. The higher the frequency of the grid, The change of the contrast of fiber occurred largely and clear boundary was confirmed. The decrease of the number of pixels was small and morphological change was small. In conclusion, when using a grid frequency that is not suitable for the sample frequency, morphological changes or lesion loss of micro lesions in the post- suppression image may give the possibility of misdiagnosis in diagnosis and differentiation of the image.

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References

  1. Khodjou-Chokami H, Sohrabpour M. Design of linear anti-scatter grid geometry with optimum performance for screen-film and digital mammography systems. Physics in Medicine and Biology. 2015;60(15):5753-5765. https://doi.org/10.1088/0031-9155/60/15/5753
  2. Fritz S, Jones AK. Guidelines for anti-scatter grid use in pediatric digital radiography. Pediatric Radiology. 2014;44(3):313-321. https://doi.org/10.1007/s00247-013-2824-9
  3. Baek CH. A Study of Scattered Radiation Effect on Digital Radiography Imaging System. Journal of radiological science and technology. 2017;40(1):71-77. https://doi.org/10.17946/JRST.2017.40.1.11
  4. Barski LL, Wang X. Characterization, detection and suppression of stationary grids in digital projection radiography imagery. in Proc. SPIE, May 1999;3658:502-519.
  5. Wang J, Huang HK. Film digitization aliasing artifacts caused by grid line patterns. IEEE Trans. Medical Imaging, 1994;13(2): 375-85. https://doi.org/10.1109/42.293930
  6. Kim DS, Lee S. Analysis on the Saturation of Grid Artifact and its Reduction in Digital Radiography Images Based on the Adaptive Filtering. Journal of the institute of electronics engineers of Korea. 2011;48(4):1-11.
  7. Kim DS. Grid Angle Optimization and Grid Artifact Reduction in Digital Radiography Images Based on the Modulation Model. Journal of the institute of electronics engineers of Korea. 2011;48(3):30-41.
  8. Lee HM, Yoon J, Kim HJ. Effects of Contrast Improvement on High Voltage Rectification Type of X-ray Diagnostic Apparatus. Journal of radiological science and technology. 2014;37(3):187-193.
  9. Kim DS. Artifact Reduction in Digital Radiography Images with the Stationary Grid Based on 1-Dimensional Filters. Journal of the Institute of Electronics Engineers of Korea SP. 2010;47(5):117-126.
  10. Lee SJ, Cho HS, Choi SG, et al. Study on a moire Artifact in the Use of Carbon Interspaced Antiscatter Grids for Digital Radiography. Journal of the Korean Society of Radiology. 2008;2(4):5-9.
  11. Kim DS, Lee S. Grid artifact reduction for direct digital radiography detectors based on rotated stationary grids with homomorphic filtering. Med. Phys. 2013;40(6):061905. https://doi.org/10.1118/1.4807085
  12. Kato M, et al. Clinical efficacy of image processing of grid detection and suppression (GDS) in computed radiography. Nihon Hoshasen Gijutsu Gakkai Zasshi. Aug 2005;61(8):1158-1169. https://doi.org/10.6009/jjrt.KJ00003943078
  13. Sickles, EA, D'Orsi CJ, Bassett LW, et al. ACR BI-RADS(R) Mammography. In: ACR BI-RADS(R) Atlas, "Breast Imaging Reporting and Data System". Reston, VA, American College of Radiology; 2013.
  14. Sasada R, Yamada M, Hara S, et al. Stationary grid pattern removal using 2D technique for moire-free radiographic image display. May 2003; Proceedings Volume 5029, Medical Imaging 2003, Visualization, Image-Guided Procedures, and Display.
  15. Lin CY, Lee WJ, Chen SJ, et al. A Study of Grid Artifacts Formation and Elimination in Computed Radiographic Images. J. Digit. Imaging. 2006;19(4):351-361. https://doi.org/10.1007/s10278-006-0630-8