Abstract
Data acquisition process in computed tomography (CT) can promote the generation of artifacts in image slice, making the patient diagnosis more difficult. Thus, metal artifact reduction (MAR) techniques must be applied to recover the damaged information from bone and tissue regions. In this paper, we propose a novel pipeline to reduce these artifacts in image domain. Specifically, this procedure computes the local tone map** (TM) operator for each metallic artifact damaged slice. Thereby, it is possible to detect and classify these artifacts using morphological operations and its geometry features for restoration through Inpainting algorithm to fill them with image patterns visually plausible. The proposed pipeline is demonstrated in buco-maxillo facial CT images. Results show that restored slices enhance teeth structures allowing a better visualization of the reconstructed surface.
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Acknowledgements
This work was financed by the FAPESB doctoral scholarship under the number BOL0098/2017. We also thank the Dentomaxilofacial Radiology Division of Federal University of Bahia for providing the CT scans used in this project.
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Alcântara, R.S., Apolinário, A.L., Ferreira, P.E., Giraldi, G.A., Rebello, I.M.C.R., Dultra, J.d.A. (2021). Metal Artifact Reduction Based on Color Map** and Inpainting Techniques. In: Tavares, J.M.R.S., Papa, J.P., González Hidalgo, M. (eds) Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2021. Lecture Notes in Computer Science(), vol 12702. Springer, Cham. https://doi.org/10.1007/978-3-030-93420-0_29
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