Abstract
In computed tomography (CT) metal causes strong streak artifacts in the reconstructed images, which may hinder the correct diagnosis of patients. In this work, metal artifacts are reduced using the modified Eulers elastica and curvature based sinogram inpainting (EECSI). The inconsistent data is deleted from the sinogram and replaced by a two-dimensional interpolation strategy based on the surrounding data information using partial differential equations. The inpainting domain is defined by a binary mask that is calculated using a thresholding method in the preliminary reconstructed image with a following forward projection of the metal-only image. Here, the EECSI is modified by a statistic weighting function that regulates the time step size depending on the probability of a gray value. Additionally, the connectivity principle is strengthened by applying a different strategy in the numerical implementation compared to prior methods. The measurements are realized on a Philips Tomoscan M/EG scanner using a torso phantom with the physical properties of an average male torso, suitable for medical experiments. For evaluation, the results are compared to the ones achieved by using the original EECSI and the classically used one-dimensional linear interpolation method. It is demonstrated that the performed modifications result in a better metal artifact suppression.
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References
Kalender WA, Hebel R, Ebersberger J. Reduction of CT artifacts caused by metallic implants. Radiology. 1987; p. 576–7.
Oehler M, Buzug TM. An image inpainting based surrogate data strategy for metal artifact reduction in CT images. In: Proc IFMBE; 2008. p. 651–4.
Oehler M, Buzug TM. Evaluation of surrogate data quality in sinogram-based CT metal artifact reduction. In: Proc SPIE; 2008. p. 1–10.
Chan T, Kang SH, Shen J. Euler‘s elastica and curvature based inpaintings. SIAM J Appl Math. 2002; p. 564–92.
Gu J, Zhang L, Yu G, et al. Metal artifact reduction in CT images through Euler‘s elastica and curvature based sinogram inpainting. In: Proc SPIE. vol. 6144; 2006. p. 65.
Bertalmio M, Sapira G, Caselles V, et al. Image inpainting. In: Proc SIGGRAPH; 2000. p. 417–24.
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© 2012 Springer-Verlag Berlin Heidelberg
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Hamer, J., Kratz, B., Müller, J., Buzug, T.M. (2012). Modified Eulers Elastica Inpainting for Metal Artifact Reduction in CT. In: Tolxdorff, T., Deserno, T., Handels, H., Meinzer, HP. (eds) Bildverarbeitung für die Medizin 2012. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28502-8_54
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DOI: https://doi.org/10.1007/978-3-642-28502-8_54
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