English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

In this paper we demonstrate the utility of fusing energy-resolvedobservations of Compton scattered photons with traditional attenuation data forthe joint recovery of mass density and photoelectric absorption in the contextof limited view tomographic imaging applications. We begin with the developmentof a physical and associated numerical model for the Compton scatter process.Using this model, we propose a variational approach recovering these twomaterial properties. In addition to the typical data-fidelity terms, theoptimization functional includes regularization for both the mass density andphotoelectric coefficients. We consider a novel edge-preserving method in thecase of mass density. To aid in the recovery of the photoelectric information,we draw on our recent method in \cite{r15} and employ a non-localregularization scheme that builds on the fact that mass density is more stablyimaged. Simulation results demonstrate clear advantages associated with the useof both scattered photon data and energy resolved information in mapping thetwo material properties of interest. Specifically, comparing images obtainedusing only conventional attenuation data with those where we employ onlyCompton scatter photons and images formed from the combination of the two,shows that taking advantage of both types of data for reconstruction providesfar more accurate results.

On the Fusion of Compton Scatter and Attenuation Data for Limited-view X-ray Tomographic Applications