Dynamic Pixel Binning allows Spatial and Angular Resolution Tradeoffs to improve Image Quality in X-Ray C-Arm CT

Conference contribution


Publication Details

Author(s): Steg A, Reichenbach M, Söll C, Shi L, Maier A, Rieß C
Publication year: 2016
Pages range: 577-580


Abstract


When designing an acquisition protocol for a C-arm CT acquisition, a tradeoff has to be made between scan time and the amount of acquired data. If the scan is increased, data of spatially and angular higher resolution can be acquired. If the scan time is fixed, one has to tradeoff spatial and angular resolution, which may either lead to oversmoothing or artifacts from angular undersampling. In this work, we investigate the viability of smart cameras for pushing the boundary for this bottleneck considerably further. The detector pixels are enhanced by processing units that are able to perform a limited amount of local operations. This allows an online, dynamical adaptation of the pixel binning, depending on whether a local neighborhood is smooth or not. We demonstrate on phantom data that this approach allows to save about 75\% of the data, obtaining a reconstruction quality comparable to 1 x 1 binning at a data rate comparable to 2 x 2 pixel binning.



FAU Authors / FAU Editors

Maier, Andreas Prof. Dr.-Ing.
Lehrstuhl für Informatik 5 (Mustererkennung)
Reichenbach, Marc Dr.-Ing.
Lehrstuhl für Informatik 3 (Rechnerarchitektur)
Rieß, Christian Dr.-Ing.
Lehrstuhl für Informatik 5 (Mustererkennung)
Shi, Lan
Lehrstuhl für Technische Elektronik
Söll, Christopher
Lehrstuhl für Technische Elektronik
Steg, Alexander
Lehrstuhl für Informatik 5 (Mustererkennung)


How to cite

APA:
Steg, A., Reichenbach, M., Söll, C., Shi, L., Maier, A., & Rieß, C. (2016). Dynamic Pixel Binning allows Spatial and Angular Resolution Tradeoffs to improve Image Quality in X-Ray C-Arm CT. (pp. 577-580). Prague.

MLA:
Steg, Alexander, et al. "Dynamic Pixel Binning allows Spatial and Angular Resolution Tradeoffs to improve Image Quality in X-Ray C-Arm CT." Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI), Prague 2016. 577-580.

BibTeX: 

Last updated on 2018-19-04 at 03:50