Iodine quantification performance with deep silicon-based Photon-Counting CT: A virtual imaging trial study
Abstract
Purpose: This study investigates the imaging performance of a deep silicon-based photon-counting CT (Si-PCCT) in quantifying iodine contrast through a virtual imaging trial (VIT).
Methods: We developed a VIT framework using Si-PCCT simulator and benchmarked it against a prototype using an ACR phantom for assessing spatial resolution and noise characteristics, and a geometric phantom for iodine quantification. We imaged geometrical phantoms (20 - 40 cm) with iodine concentrations ranging from 1 to 19.7 mg/ml and XCAT human models with iodine contrast at BMI of 19 to 38 kg/m2 across different radiation dose levels (13.9, 27.8, and 41.7 mGy of CTDIvol). We performed material decomposition, reconstructed iodine CT images, and evaluated iodine quantification accuracy.
Results: The Si-PCCT simulator closely matched with the prototype, with differences within 3 % in MTF (f50 and f10) and 3.7 % (fpeak) in NNPS, and Root-Mean-Square Error of 0.12 mg/ml in iodine quantification. The mean absolute errors (MAE) between the estimated and ground-truth iodine concentration were 0.10, 0.25, and 1.80 mg/ml for 20, 30, and 40 cm phantoms, and 0.31, 0.37, and 0.70 mg/ml for XCAT human models with BMIs of 19, 28, and 38 kg/m2, respectively. Similarly, the MAEs were 0.88, 0.45, and 0.31 mg/ml for the geometrical phantoms, and 0.66, 0.5, and 0.46 mg/ml for human models at CTDIvol of 13.9, 27.8, and 41.7 mGy respectively. These results demonstrate accurate iodine quantification performance,…
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