X-Ray Ghost-Tomography: Artefacts, Dose Distribution, and Mask Considerations

Andrew Kingston, Glenn Myers, Daniele Pelliccia, Imants D Svalbe, David M Paganin

    Research output: Contribution to journalArticlepeer-review

    Abstract

    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.
    Original languageEnglish
    Pages (from-to)136-149
    JournalIEEE Transactions on Computational Imaging
    Volume5
    Issue number1
    DOIs
    Publication statusPublished - 2019

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