A Dynamically Segmented DCT Technique for Grid Artifact Suppression in X-ray Images


KIPS Transactions on Software and Data Engineering, Vol. 8, No. 4, pp. 171-178, Apr. 2019
https://doi.org/10.3745/KTSDE.2019.8.4.171,   PDF Download:
Keywords: Radiography, Medical Image Processing, Grid Artifacts, Blocking Effect, Discrete Cosine Transform
Abstract

The use of anti-scatter grids in radiographic imaging has the advantage of preventing the image distortion caused by scattered radiation. However, it carries the side effect of leaving artifacts in the X-ray image. In this paper, we propose a grid line suppression technique using discrete cosine transform(DCT). In X-ray images, the grid lines have different characteristics depending on the shape of the object and the area of the image. To solve this problem, we adopt the DCT transform based on a dynamic segmentation, and propose a filter transfer function for each individual segment. An algorithm for detecting the band of grid lines in frequency domain and a band stop filter(BSF) with a filter transfer function of a combination of Kaiser window and Butterworth filter have been proposed. To solve the blocking effects, we present a method to determine the pixel values using multiple structured images. The validity of the proposed theory has been evaluated from the experimental results using 140 X-ray images.


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Cite this article
[IEEE Style]
H. Kim, J. Jung, J. Lee, J. Park, J. Seo, H. Kim, "A Dynamically Segmented DCT Technique for Grid Artifact Suppression in X-ray Images," KIPS Transactions on Software and Data Engineering, vol. 8, no. 4, pp. 171-178, 2019. DOI: https://doi.org/10.3745/KTSDE.2019.8.4.171.

[ACM Style]
Hyunggue Kim, Joongeun Jung, Jihyun Lee, Joonhyuk Park, Jisu Seo, and Hojoon Kim. 2019. A Dynamically Segmented DCT Technique for Grid Artifact Suppression in X-ray Images. KIPS Transactions on Software and Data Engineering, 8, 4, (2019), 171-178. DOI: https://doi.org/10.3745/KTSDE.2019.8.4.171.