Metal artifact reduction in CT images of head by image processing techniques

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Abstract

Metal artifact is one of the major problems in CT images. To overcome this problem a new algorithm has been suggested in this research. This algorithm has five steps means: a) Extraction the metal region from the image, b) Filtration the extracted metallic region, c) Segmentation and accurate extraction of metallic pieces by FCM (Fuzzy C Means) method, d) Using the interpolation on the sinogram and finally e) Insert the corrected metallic section of image to the original image. The results of this research showed, by using this new algorithm the output image has better contrast, signal to noise ratio and visibility with much less consumed time than the other reported methods. © 2011 Published by Elsevier B.V.

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Safdari, M., Karimian, A., & Yazdchi, M. (2011). Metal artifact reduction in CT images of head by image processing techniques. In Physics Procedia (Vol. 22, pp. 209–211). Elsevier B.V. https://doi.org/10.1016/j.phpro.2011.11.033

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