TY - JOUR
T1 - X-Ray Ghost-Tomography: Artefacts, Dose Distribution, and Mask Considerations
AU - Kingston, Andrew
AU - Myers, Glenn
AU - Pelliccia, Daniele
AU - Svalbe, Imants D
AU - Paganin, David M
PY - 2019
Y1 - 2019
N2 - Ghost imaging has recently been successfully achieved in the X-ray regime. Due to the penetrating power of X-rays this immediately opens up the possibility of ghost-tomography. No research into this topic currently exists in the literature. Here, we present adaptations of conventional X-ray tomography techniques to this new ghost-imaging scheme. Several numerical implementations for tomography through X-ray ghost-imaging are considered. Specific attention is paid to schemes for reducing the noise-like artefacts of the resulting tomographic reconstruction, issues related to dose fractionation, and considerations regarding the ensemble of illuminating masks used for ghost-imaging. Each theme is explored through a series of numerical simulations, and several suggestions offered for practical realisations of ghost-tomography.
AB - Ghost imaging has recently been successfully achieved in the X-ray regime. Due to the penetrating power of X-rays this immediately opens up the possibility of ghost-tomography. No research into this topic currently exists in the literature. Here, we present adaptations of conventional X-ray tomography techniques to this new ghost-imaging scheme. Several numerical implementations for tomography through X-ray ghost-imaging are considered. Specific attention is paid to schemes for reducing the noise-like artefacts of the resulting tomographic reconstruction, issues related to dose fractionation, and considerations regarding the ensemble of illuminating masks used for ghost-imaging. Each theme is explored through a series of numerical simulations, and several suggestions offered for practical realisations of ghost-tomography.
U2 - 10.1109/TCI.2018.2880337
DO - 10.1109/TCI.2018.2880337
M3 - Article
VL - 5
SP - 136
EP - 149
JO - IEEE Transactions on Computational Imaging
JF - IEEE Transactions on Computational Imaging
IS - 1
ER -