Regularized iterative integration combined with non-linear diffusion filtering for phase-contrast x-ray computed tomography
Burger K, Koehler T, Chabior M, Allner S, Marschner M, Fehringer A, Willner M, Pfeiffer F, Noel P (2014)
Publication Type: Journal article
Publication year: 2014
Journal
Book Volume: 22
Pages Range: 32107-32118
Journal Issue: 26
DOI: 10.1364/OE.22.032107
Abstract
Phase-contrast x-ray computed tomography has a high potential to become clinically implemented because of its complementarity to conventional absorption-contrast. In this study, we investigate noise-reducing but resolution-preserving analytical reconstruction methods to improve differential phase-contrast imaging. We apply the non-linear Perona-Malik filter on phase-contrast data prior or post filtered backprojected reconstruction. Secondly, the Hilbert kernel is replaced by regularized iterative integration followed by ramp filtered backprojection as used for absorption-contrast imaging. Combining the Perona-Malik filter with this integration algorithm allows to successfully reveal relevant sample features, quantitatively confirmed by significantly increased structural similarity indices and contrast-to-noise ratios. With this concept, phase-contrast imaging can be performed at considerably lower dose.
Involved external institutions
Germany (DE)How to cite
APA:
Burger, K., Koehler, T., Chabior, M., Allner, S., Marschner, M., Fehringer, A.,... Noel, P. (2014). Regularized iterative integration combined with non-linear diffusion filtering for phase-contrast x-ray computed tomography. Optics Express, 22(26), 32107-32118. https://doi.org/10.1364/OE.22.032107
MLA:
Burger, Karin, et al. "Regularized iterative integration combined with non-linear diffusion filtering for phase-contrast x-ray computed tomography." Optics Express 22.26 (2014): 32107-32118.
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