Technical performance of dual-contrast-agent K-edge imaging with four energy thresholds on a commercial photon counting detector CT.

Abstract

Background: Photon counting detector CT (PCD-CT) has the potential to sort detected x-ray photons into more than two energy bins to perform multi-material decomposition using K-edge materials without additional mathematical constraints/assumptions. The availability of multiple energy thresholds in PCD-CT opens the possibility for unique clinical applications such as simultaneous multi-contrast-agent imaging.

Purpose: To evaluate the technical performance of a PCD-CT system with four energy thresholds for conducting multi-material decomposition of iodine, gadolinium, and water after a comprehensive system calibration procedure.

Methods: Experiments were performed on a commercial PCD-CT scanner (NAEOTOM Alpha, Siemens Healthineers) using a research mode with four energy thresholds. Material calibration was performed by scanning contrast materials with known concentration placed in various sizes of cylindrical water-equivalent phantoms at various tube currents and positions. From these data, per-voxel contrast models were derived for each material by multiple linear regressions up to second order, where the predictor variables were combinations of tube current, phantom diameter, and distance to isocenter. After calibration, small (20 cm diameter) and large (30 cm × 40 cm) uniform multi-energy CT phantoms and an anthropomorphic thorax phantom (31 cm × 39 cm), each containing bone, soft tissue, and several quantitative inserts of iodine (0.2-5.0 mg/ml), gadolinium (0.3-5.0 mg/ml), and a mixture of both (5.0 mg/ml each) were scanned using the four-energy threshold mode at 140 kV with energy thresholds set at 20, 52, 75, and 82 keV. Images for each energy threshold were reconstructed with a filtered back-projection algorithm and a quantitative kernel (Qr44). Subsequent image-based material decomposition was performed on individual voxels of the energy threshold images using the models derived from the calibration process to generate water, iodine, and gadolinium basis images. Quantitative material concentrations and image noise magnitudes, and noise power spectra (NPS) were measured.

Results: Iodine and gadolinium concentrations above 1.25 mg/ml were visible in the material basis images in all phantoms. Averaged quantitative accuracy for iodine and gadolinium in the small, large, and thorax phantoms were 0.39 ± 0.30 mg/ml, 0.96 ± 0.53 mg/ml, and 0.53 ± 0.35 mg/ml, respectively. In the water basis images, accuracy was within 24 HU in all phantoms. Noise magnitudes in iodine and gadolinium basis images were 2.91 and 3.52 times that of the lowest energy threshold image for the small phantom, and were 6.92 and 7.17 times that of the lowest threshold image for the large phantom. Noise texture did not change between the energy threshold and material basis images for either size phantom as measured by the NPS.

Conclusions: After a comprehensive system calibration, a commercial PCD-CT with four energy thresholds performed multiple material decomposition of iodine, gadolinium, and water for concentrations above 1.25 mg/ml in human-sized phantoms. Noise amplification and quantitative accuracy from the decomposition greatly depended on object size.