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http://dx.doi.org/10.17946/JRST.2018.41.5.463

Image Analysis of Micro Lesions According to Grid Frequency After Removal of Moire Artifact  

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)
Publication Information
Journal of radiological science and technology / v.41, no.5, 2018 , pp. 463-469 More about this Journal
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.
Keywords
Micro lesion; Grid frequency; Profile Analysis; Binarization analysis; Grid remove;
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