On the Inherent Dose-Reduction Potential of Classical Ghost Imaging
Andrew M. Kingston, Wilfred K. Fullagar, Glenn R. Myers, Daishi Adams,, Daniele Pelliccia, David M. Paganin

TL;DR
This paper investigates the inherent dose-reduction potential of classical ghost imaging, revealing that its SNR advantages are limited and often due to increased dose rather than fundamental benefits.
Contribution
It provides a detailed analysis of the signal-to-noise ratio in ghost imaging, clarifying when it offers genuine advantages over conventional imaging.
Findings
Ghost imaging's SNR benefits are limited to specific scenarios.
Increased dose explains the apparent SNR advantages in some cases.
Recent conflicting results are explained by differences in experimental conditions.
Abstract
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…
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