Iodine quantification performance with deep silicon-based Photon-Counting CT: A virtual imaging trial study.

Area of Science:

• Medical Imaging
• Computed Tomography
• Photon-Counting Detectors

Background:

• Photon-counting CT (PCCT) offers improved spectral information and dose efficiency compared to conventional CT.
• Deep silicon-based detectors are emerging as a promising technology for PCCT systems.
• Accurate iodine quantification is crucial for contrast-enhanced CT imaging.

Purpose of the Study:

• To evaluate the imaging performance of a deep silicon-based photon-counting CT (Si-PCCT) system.
• To assess the accuracy of iodine quantification using a virtual imaging trial (VIT) framework.
• To investigate the influence of object size and radiation dose on Si-PCCT performance.

Main Methods:

• Developed a VIT framework utilizing an Si-PCCT simulator.
• Benchmarked the simulator against a prototype using ACR and geometric phantoms.
• Imaged phantoms and XCAT human models with varying iodine concentrations, object sizes, and radiation doses (CTDIvol).
• Performed material decomposition and reconstructed iodine CT images to evaluate quantification accuracy.

Main Results:

• The Si-PCCT simulator showed high agreement with the prototype in spatial resolution and noise characteristics.
• Mean absolute errors (MAE) for iodine quantification were low, particularly for smaller phantoms and higher doses.
• Iodine quantification accuracy was influenced by object size and radiation dose, with improved performance at higher doses and smaller diameters.

Conclusions:

• Si-PCCT demonstrates accurate iodine quantification capabilities.
• The VIT framework effectively evaluated Si-PCCT performance.
• Si-PCCT shows significant potential for clinical applications requiring precise iodine quantification.