Overexposure Correction by Mixed One-bit Compressive Sensing for C-Arm CT

Huang X, Xia Y, Huang Y, Hornegger J, Maier A (2017)


Publication Language: English

Publication Type: Conference contribution, Original article

Publication year: 2017

Publisher: Springer

Edited Volumes: Informatik aktuell

City/Town: Berlin

Pages Range: 50-55

Conference Proceedings Title: Bildverarbeitung für die Medizin: Algorithmen-Systeme-Anwendungen

Event location: Heidelberg

ISBN: 978-3-662-54344-3

URI: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Huang17-OCB.pdf

DOI: 10.1007/978-3-662-54345-0

Abstract

This paper proposes a novel method to deal with overexposure for C-arm CT reconstruction. The proposed method is based on recent progress of one bit compressive sensing (1bit-CS), which is to recover sparse signals from sign measurements. Overexposure could be regarded as a kind of sign information, thus the application of 1bit-CS to overexposure correction in CT reconstruction is expected. This method is evaluated on a phantom and its promising performance implies potential application on clinical data.

Authors with CRIS profile

How to cite

APA:

Huang, X., Xia, Y., Huang, Y., Hornegger, J., & Maier, A. (2017). Overexposure Correction by Mixed One-bit Compressive Sensing for C-Arm CT. In Klaus Hermann Maier-Hein, geb. Fritzsche, Thomas Martin Deserno, geb. Lehmann, Heinz Handels,Thomas Tolxdorff (Eds.), Bildverarbeitung für die Medizin: Algorithmen-Systeme-Anwendungen (pp. 50-55). Heidelberg: Berlin: Springer.

MLA:

Huang, Xiaolin, et al. "Overexposure Correction by Mixed One-bit Compressive Sensing for C-Arm CT." Proceedings of the Bildverarbeitung für die Medizin 2017, Heidelberg Ed. Klaus Hermann Maier-Hein, geb. Fritzsche, Thomas Martin Deserno, geb. Lehmann, Heinz Handels,Thomas Tolxdorff, Berlin: Springer, 2017. 50-55.

BibTeX: Download