Evaluation of spectrum mismatching using spectrum binning for statistical polychromatic reconstruction in CT

Yang Q, Wu M, Maier A, Hornegger J, Fahrig R (2014)

Publication Type: Conference contribution

Publication year: 2014

Journal

Informatik aktuell Gesellschaft für Informatik (GI)

Publisher: Kluwer Academic Publishers

Pages Range: 42-47

Conference Proceedings Title: Informatik aktuell

Event location: Aachen DE

ISBN: 9783642541100

DOI: 10.1007/978-3-642-54111-7_13

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.

Authors with CRIS profile

Andreas Maier Lehrstuhl für Informatik 5 (Mustererkennung) Joachim Hornegger Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung)

Involved external institutions

Stanford University US United States (USA) (US)

How to cite

APA:

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 Hans-Peter Meinzer, Heinz Handels, Thomas Martin Deserno, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 42-47). Aachen, DE: Kluwer Academic Publishers.

MLA:

Yang, Qiao, et al. "Evaluation of spectrum mismatching using spectrum binning for statistical polychromatic reconstruction in CT." Proceedings of the Workshops Bildverarbeitung fur die Medizin: Algorithmen - Systeme - Anwendungen, BVM 2014 - Workshop on Image Processing for Medicine: Algorithms - Systems - Applications, BVM 2014, Aachen Ed. Hans-Peter Meinzer, Heinz Handels, Thomas Martin Deserno, Thomas Tolxdorff, Kluwer Academic Publishers, 2014. 42-47.

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