Simulation is a valuable tool for designing and evaluating the performance of x-ray imaging systems. In previous work, a hybrid CT+XRD imaging system was developed for improved identification of threat objects in checked baggage. Through large-scale simulations of this hybrid CT+XRD system, we can investigate the impact of various parameters on system performance. These parameters include varying energy resolution, multi-energy acquisitions, and additional system views. We will report on our findings and evaluate the system performance resulting from these and other variations of the simulated system as well as discuss how these findings may inform future system design.
X-ray phase contrast imaging has the potential to improve image contrast and better differentiate between weakly attenuating materials. Current implementations, however, focus on small biological samples and coherent sources. Here we propose asymmetric illumination as a low complexity variation of x-ray differential phase contrast imaging. With this method, we would utilize angular filtration of the signal at the detector to convert the phase shifts into intensity variation. We will report our findings as we test the feasibility of this method through simulation as well as discuss ongoing efforts in the development of the system.
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