A theoretical framework for comparing noise characteristics of spectral, differential phase-contrast and spectral differential phase-contrast X-ray imaging

TL;DR

This paper develops a noise analysis framework to compare spectral, differential phase-contrast, and spectral differential phase-contrast X-ray imaging, revealing that spectral differential phase-contrast offers lower noise and fewer correlations, enhancing imaging quality.

Contribution

It introduces a comprehensive noise prediction framework for these imaging methods and demonstrates the advantages of spectral differential phase-contrast imaging over traditional techniques.

Findings

Spectral differential phase-contrast imaging reduces noise in electron density images.

No long-range noise correlations in spectral differential phase-contrast imaging.

Analytical predictions are confirmed by numerical simulations.

Abstract

Spectral and grating-based differential phase-contrast X-ray imaging are two emerging technologies that offer additional information compared with conventional attenuation-based X-ray imaging. In the case of spectral imaging, energy-resolved measurements allow the generation of material-specific images by exploiting differences in the energy-dependent attenuation. Differential phase-contrast imaging uses the phase shift that an X-ray wave exhibits when traversing an object as contrast generation mechanism. Recently, we have investigated the combination of these two imaging techniques (spectral differential phase-contrast imaging) and demonstrated potential advantages compared with spectral imaging. In this work, we present a noise analysis framework that allows the prediction of (co-) variances and noise power spectra for all three imaging methods. Moreover, the optimum acquisition parameters for a particular imaging task can be determined. We use this framework for a performance comparison of all three imaging methods. The comparison is focused on (projected) electron density images since they can be calculated with all three imaging methods. Our study shows that spectral differential phase-contrast imaging enables the calculation of electron density images with strongly reduced noise levels compared with the other two imaging methods for a large range of clinically relevant pixel sizes. In contrast to conventional differential phase-contrast imaging, there are no long-range noise correlations for spectral differential phase-contrast imaging. This means that excessive low frequency noise can be avoided. We confirm the analytical predictions by numerical simulations.