Robustness of optimal energy thresholds in photon-counting spectral CT

Abstract An important question when developing photon-counting detectors for computed tomography is how to select energy thresholds. In this work thresholds are optimized by maximizing signal-difference-to-noise ratio squared (SDNR 2 ) in an optimally weighted image and signal-to-noise ratio squared (SNR 2 ) in a gadolinium basis image in a silicon-strip detector and a cadmium zinc telluride (CZT) detector, factoring in pileup and imperfect energy response based on real-world detector systems. To investigate to what extent one single set of thresholds could be applied in various imaging tasks, the robustness of optimal thresholds with 2 to 8 bins is examined with the variation of phantom thicknesses, target materials and detector configurations. In contrast to previous studies, the optimal threshold locations do not always increase with increasing attenuation if pileup is included. With respect to the tradeoff between higher SDNR 2 or SNR 2 and less data, setting optimal thresholds for a 30 cm phantom yields robust SDNR 2 and setting optimal thresholds for a 50 cm phantom yields robust SNR 2 with 6 to 8 bins in the silicon-strip detector. Furthermore, setting optimal thresholds for a 30 cm phantom yields robust SDNR 2 or SNR 2 with 6 to 8 bins and a pixel size less than or equal to 0.5 × 0.5 mm 2 in the CZT detector.