Abstract
In CT, the nonlinear attenuation characteristics of polychromatic X-rays cause beam hardening artifacts in the reconstructed images. Statistical algorithms can effectively correct beam hardening artifacts while providing the benefit of noise reduction. In practice, a big challenge for CT is the difficulty at acquiring accurate energy spectrum information, which hinders the efficiency of beam hardening correction approaches that require the spectrum as prior knowledge such as the statistical methods. In this paper, we used proposed energy spectrum binning approach for reducing prior knowledge from full spectrum to three energy bins to compare the results when applying parameters optimized for one spectrum to data measured using a different spectrum.
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References
Joseph P, Spital R. A method for correction bone induced artifacts in computed tomography scanners. J Comput Assist Tomogr. 1978.
Elbakri IA, Fessler JA. Statistical image reconstruction for polyenergetic X-ray computed tomography. IEEE Trans Med Imaging. 2002;21(2):89–99.
De Man B, Nuyts, Dupont P, et al. An iterative maximum-likelihood polychromatic algorithm for CT. IEEE Trans Med Imaging. 2001;20(10):999–1008.
Van Gompel G, Van Slambrouck, Defrise M, et al. Iterative correction of beam hardening artifacts in CT. Med Phys. 2011;38(7):36.
Wu M, Yang Q, Maier A, et al. A practical statistical polychromatic image reconstruction for computed tomography using spectrum binning. SPIE Med Imaging. 2014.
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Yang, Q., Wu, M., Maier, A., Hornegger, J., Fahrig, R. (2014). Evaluation of Spectrum Mismatching Using Spectrum Binning for Statistical Polychromatic Reconstruction in CT. In: Deserno, T., Handels, H., Meinzer, HP., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2014. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54111-7_13
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DOI: https://doi.org/10.1007/978-3-642-54111-7_13
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