Implementation and assessment of the black body bias correction in quantitative neutron imaging

Chiara Carminati, Pierre Boillat, Florian Schmid, Peter Vontobel, Jan Hovind, Manuel Morgano, Marc Raventos, Muriel Siegwart, David Mannes, Christian Gruenzweig, Pavel Trtik, Eberhard Lehmann, Markus Strobl and Anders Kaestner

PLOS ONE, 2019, vol. 14, issue 1, 1-24

Abstract: We describe in this paper the experimental procedure, the data treatment and the quantification of the black body correction: an experimental approach to compensate for scattering and systematic biases in quantitative neutron imaging based on experimental data. The correction algorithm is based on two steps; estimation of the scattering component and correction using an enhanced normalization formula. The method incorporates correction terms into the image normalization procedure, which usually only includes open beam and dark current images (open beam correction). Our aim is to show its efficiency and reproducibility: we detail the data treatment procedures and quantitatively investigate the effect of the correction. Its implementation is included within the open source CT reconstruction software MuhRec. The performance of the proposed algorithm is demonstrated using simulated and experimental CT datasets acquired at the ICON and NEUTRA beamlines at the Paul Scherrer Institut.

Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0210300

DOI: 10.1371/journal.pone.0210300

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