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Phantom-derived method for improving accurate material decomposition in photon-counting detector CT
Sam Springer1, Bibi Martens2, Thomas Flohr2,3
1Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands. Smsprngr@gmail.com.
Objective:
Photon-counting detector CT (PCD-CT) enables spectral imaging with material separation. Accurate iodine and iron quantification remains challenging due to inevitable low- and high-energy base material CT number mismatches and dual-energy ratio (DER) variability. This study develops and validates a correction method addressing these issues to improve iodine and iron quantification in PCD-CT.
Materials And Methods:
A spectral CT abdomen phantom containing rods with known iodine (0.5-15.0 mg/mL) and iron (2.0-25.0 mg/mL) concentrations in water- and liver-equivalent material was scanned on a clinical PCD-CT under varying tube voltages, dose levels, and with/without a fat ring. High- and low-energy CT numbers of base materials and DER values were inputs for the correction method. Material concentrations calculated with and without correction were validated against known phantom values.
Results:
The correction method significantly reduced quantification errors. Iodine errors fell below 5% for concentrations ≥ 2 mg/mL and iron errors below 15% for concentrations ≥ 5 mg/mL. Without correction, errors reached up to 83% (iodine) and 85% (iron) at low concentrations, reduced to 23% and 47%, respectively, after correction.
Conclusion:
The proposed correction method improves accuracy in spectral material decomposition for PCD-CT, supporting its potential for better clinical assessment of lesion contrast enhancement, therapy response and hepatic burden evaluation.
Relevance Statement:
This technical note introduces a phantom-based correction method for photon-counting detector CT that improves iodine and iron quantification by addressing base material Hounsfield Unit (HU) mismatches and dual-energy ratio variability. The method reduces quantification errors and offers a practical calibration procedure, supporting the potential for clinically reliable iodine and iron quantification.
Key Points:
PCD-CT correction method reduces concentration errors across varying scan protocols and configurations. Implementation guide supports adaptation to other scanners. Accurate iodine and iron quantification supports diagnosis and treatment assessment.
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