5 papers
Rapidly-converging multigrid reconstruction of cone-beam tomographic data
Glenn R. Myers, Andrew M. Kingston, Shane J. Latham +5
In the context of large-angle cone-beam tomography (CBCT), we present a practical iterative reconstruction (IR) scheme designed for rapid convergence as required for large datasets…
On the Inherent Dose-Reduction Potential of Classical Ghost Imaging
Andrew M. Kingston, Wilfred K. Fullagar, Glenn R. Myers +3
Classical ghost imaging is a computational imaging technique that employs patterned illumination. It is very similar in concept to the single-pixel camera in that an image may be r…
Neutron Ghost Imaging
Andrew M. Kingston, Glenn R. Myers, Daniele Pelliccia +4
Ghost imaging is demonstrated using a poly-energetic reactor source of thermal neutrons. The method presented enables position resolution to be incorporated, into a variety of neut…
Ghost Tomography
Andrew. M. Kingston, Daniele Pelliccia, Alexander Rack +4
Ghost tomography using single-pixel detection extends the emerging field of ghost imaging to three dimensions, with the use of penetrating radiation. In this work, a series of spat…
X-ray ghost tomography: denoising, dose fractionation and mask considerations
Andrew M. Kingston, Glenn R. Myers, Daniele Pelliccia +2
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 X-ray ghost tomograph…