65 citations · 151 across the 12 of their papers we have counts for
12 papers
Measuring and Modelling Lag in Amorphous Silicon Flat-Panel X-ray Detectors
Yiyue Huang, Benjamin Young, Andrew Kingston +1
Detector lag, also referred to as afterglow, is a source of image degradation in flat-panel x-ray detectors, producing temporal artefacts that reduce image quality and quantitative…
Synchrotron-based X-ray Fluorescence Ghost Imaging
Mathieu Manni, Adi Ben-Yehuda, Yishay Klein +5
X-ray Fluorescence Ghost Imaging (XRF-GI) was recently demonstrated for x-ray lab sources. It has the potential to reduce acquisition time and deposited dose by choosing their trad…
Universal mask for hard X rays
David Ceddia, Alaleh Aminzadeh, Philip K. Cook +3
The penetrating power of X rays underpins important applications such as medical radiography. However, this same attribute makes it challenging to achieve flexible on-demand patter…
Optimizing illumination patterns for classical ghost imaging
Andrew M. Kingston, Lindon Roberts, Alaleh Aminzadeh +3
Classical ghost imaging is a new paradigm in imaging where the image of an object is not measured directly with a pixelated detector. Rather, the object is subject to a set of illu…
Ghost projection. II. Beam shaping using realistic spatially-random masks
David Ceddia, Andrew M. Kingston, Daniele Pelliccia +2
Spatial light modulation is important for many scientific and industrial applications. The spatial light modulator and optical data projector both rely on precisely configurable op…
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…
Recovering Missing Slices of the Discrete Fourier Transform using Ghosts
Shekhar Chandra, Imants Svalbe, Jeanpierre Guedon +2
The Discrete Fourier Transform (DFT) underpins the solution to many inverse problems commonly possessing missing or un-measured frequency information. This incomplete coverage of F…
Fast Mojette Transform for Discrete Tomography
Shekhar S. Chandra, Nicolas Normand, Andrew Kingston +2
A new algorithm for reconstructing a two dimensional object from a set of one dimensional projected views is presented that is both computationally exact and experimentally practic…