TY  - JOUR
AU  - Vamvakeros, A.
AU  - Coelho, A. A.
AU  - Matras, D.
AU  - Dong, H.
AU  - Odarchenko, Y.
AU  - Price, S. W. T.
AU  - Butler, K. T.
AU  - Gutowski, O.
AU  - Dippel, A.-C.
AU  - von Zimmermann, Martin
AU  - Martens, Isaac
AU  - Drnec, Jakub
AU  - Beale, A. M.
AU  - Jacques, S. D. M.
TI  - DLSR: a solution to the parallax artefact in X-ray diffraction computed tomography data
JO  - Journal of applied crystallography
VL  - 53
IS  - 6
SN  - 1600-5767
CY  - [S.l.]
PB  - Wiley-Blackwell
M1  - PUBDB-2020-04540
SP  - 11
PY  - 2020
AB  - A new tomographic reconstruction algorithm is presented, termed direct least-squares reconstruction (DLSR), which solves the well known parallax problem in X-ray-scattering-based experiments. The parallax artefact arises from relatively large samples where X-rays, scattered from a scattering angle 2θ, arrive at multiple detector elements. This phenomenon leads to loss of physico-chemical information associated with diffraction peak shape and position (i.e. altering the calculated crystallite size and lattice parameter values, respectively) and is currently the major barrier to investigating samples and devices at the centimetre level (scale-up problem). The accuracy of the DLSR algorithm has been tested against simulated and experimental X-ray diffraction computed tomography data using the TOPAS software.
LB  - PUB:(DE-HGF)16
UR  - <Go to ISI:>//WOS:000595702500015
DO  - DOI:10.1107/S1600576720013576
UR  - https://bib-pubdb1.desy.de/record/452175
ER  -