Objective: Computed tomography (CT) has advanced since its inception, with breakthroughs such as dual-energy CT (DECT), which extracts additional information by acquiring two sets of data at different energies. As high-flux photon-counting detectors (PCDs) become available, PCD-CT is also becoming a reality. PCD-CT can acquire multi-energy data sets in a single scan by spectrally binning the incident x-ray beam. With this, K-edge imaging becomes possible, allowing high atomic number (high-Z) contrast materials to be distinguished and quantified. In this study, we demonstrated that DECT methods can be converted to PCD-CT systems by extending the method of Bourque et al (2014). We optimized the energy bins of the PCD for this purpose and expanded the capabilities by employing K-edge subtraction imaging to separate a high-atomic number contrast material.

Approach: The method decomposes materials into their effective atomic number (Zeff
) and electron density relative to water (ρe
). The model was calibrated and evaluated using tissue-equivalent materials from the RMI Gammex electron density phantom with known ρe
values and elemental compositions. Theoretical Zeff
values were found for the appropriate energy ranges using the elemental composition of the materials. Zeff
varied slightly with energy but was considered a systematic error. An ex-vivo bovine tissue sample was decomposed to evaluate the model further and was injected with gold chloride to demonstrate the separation of a K-edge contrast agent.

Main results: The mean root mean squared percent errors on the extracted Zeff
and ρe
for PCD-CT were 0.76% and 0.72%, respectively and 1.77% and 1.98% for DECT. The tissue types in the ex-vivo bovine tissue sample were also correctly identified after decomposition. Additionally, gold chloride was separated from the ex-vivo tissue sample with K-edge imaging.

Significance: PCD-CT offers the ability to employ DECT material decomposition methods, along with providing additional capabilities such as K-edge imaging.