2 research outputs found
X-ray ghost tomography: denoising, dose fractionation and mask considerations
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 tomography. No research into this topic currently
exists in the literature. Here we present adaptations of conventional
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 denoising 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 X-ray ghost
tomography
On the Inherent Dose-Reduction Potential of Classical Ghost Imaging
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 reconstructed from a set of measurements even
though all imaging quanta that pass through that sample are never recorded with
a position resolving detector. The method was first conceived and applied for
visible-wavelength photons and was subsequently translated to other probes such
as x rays, atomic beams, electrons and neutrons. In the context of ghost
imaging using penetrating probes that enable transmission measurement, we here
consider several questions relating to the achievable signal-to-noise ratio
(SNR). This is compared with the SNR for conventional imaging under scenarios
of constant radiation dose and constant experiment time, considering both
photon shot-noise and per-measurement electronic read-out noise. We show that
inherent improved SNR capabilities of ghost imaging are limited to a subset of
these scenarios and are actually due to increased dose (Fellgett advantage). An
explanation is also presented for recent results published in the literature
that are not consistent with these findings.Comment: 21 pages, 14 figure