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X-ray coherent scatter yields a weak signal relative to X-ray transmission leading to a challenging reconstruction problem of estimating the scatter spectrum of a material. Here we consider the estimation problem of recovering the spatial mapping of the X-ray coherent scatter spectrum using a spatially modulated (coded-aperture) fan-beam illumination and angle dispersive measurements. We demonstrate that by using both spatial and spectral regularization, within a Bayesian inference framework, we can improve the fidelity of the recovered scatter spectrum from relatively weak scatter measurements. More specifically, in this work we validate this reconstruction performance using experimental measurements obtained from a dual modality X-ray transmission and scatter system. We quantify the reconstruction fidelity our technique relative to maximum-likelihood and group-TV reconstruction techniques.
Amit Ashok,Shu Yang, andJoel Greenberg
"Experimental validation of spatio-spectral regularized x-ray coherent diffraction reconstruction", Proc. SPIE 12531, Anomaly Detection and Imaging with X-Rays (ADIX) VIII, 1253107 (14 June 2023); https://doi.org/10.1117/12.2664384
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Amit Ashok, Shu Yang, Joel Greenberg, "Experimental validation of spatio-spectral regularized x-ray coherent diffraction reconstruction," Proc. SPIE 12531, Anomaly Detection and Imaging with X-Rays (ADIX) VIII, 1253107 (14 June 2023); https://doi.org/10.1117/12.2664384