Evidence map›Paper›PMID 41925986›Full record

ArticleEuropean radiology experimental2026

Phantom-derived method for improving accurate material decomposition in photon-counting detector CT.

Sam Springer, Bibi Martens, Thomas Flohr, Cécile Jeukens

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Article in European radiology experimental, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Sam SpringerDepartment of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands. Smsprngr@gmail.com.ORCID http://orcid.org/0009-0007-8295-2521
Bibi MartensDepartment of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands.
Thomas FlohrDepartment of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands.
Cécile JeukensDepartment of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivePhoton-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

methodsA 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.

resultsThe 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.

conclusionThe 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.

Indexed as

Phantoms, ImagingTomography, X-Ray ComputedHumansIodineIronPhotonsIodineIronIodine quantificationIron quantificationMaterial decompositionPhantom studyPhoton-counting detector CT

Identifiers

PMID41925986
PMCPMC13046909

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.