Abstract
Metal artifact reduction (MAR) is a well-known problem and lots of studies have been performed during the last decades. The common standard methods for MAR consist of synthesizing missing projection data by using an interpolation or in-painting process. However, no method has been yet proposed to solve MAR problem when no sinogram is available. This paper proposes a novel MAR approach using confidence maps to restore an artifacted sinogram computed directly from the reconstructed image.
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Frédérique, L., Recur, B., Genot, S., Domenger, JP., Desbarats, P. (2016). Sinogram Restoration Using Confidence Maps to Reduce Metal Artifact in Computed Tomography. In: Campilho, A., Karray, F. (eds) Image Analysis and Recognition. ICIAR 2016. Lecture Notes in Computer Science(), vol 9730. Springer, Cham. https://doi.org/10.1007/978-3-319-41501-7_10
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DOI: https://doi.org/10.1007/978-3-319-41501-7_10
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