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- W2029086313 abstract "The problem of Metal Area Segmentation (MAS) in X-ray CT images is a very hard task because of metal artifacts. This research features a practical yet effective method for MAS in X-ray CT images that exploits both projection image and reconstructed image spaces. We employ the Relevant Neighbor Area (RNA) idea [1] originally developed for projection image inpainting in order to create a novel feature in the projection image space that distinctively represents metal and near-metal pixels with opposite signs. In the reconstructed result of the feature image, application of a simple thresholding technique provides accurate segmentation of metal areas due to nice separation of near-metal areas from metal areas in its histogram." @default.
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- W2029086313 date "2012-12-31" @default.
- W2029086313 modified "2023-10-18" @default.
- W2029086313 title "Metal Area Segmentation in X-ray CT Images Using the RNA (Relevant Neighbor Ar ea) Principle" @default.
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- W2029086313 doi "https://doi.org/10.9717/kmms.2012.15.12.1442" @default.
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