Evidence map›Paper›PMID 41058552›Full record

ArticleMedical physics2025

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

Kevin J Treb, Jeffrey F Marsh, Elisabeth R Shanblatt, Tristan Nowak, Chelsea A S Dunning, George S K Fung, Bernhard T Schmidt, Cynthia H McCollough, Shuai Leng

Abstract read
In one paragraph

Article in Medical physics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Kevin J TrebDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
Jeffrey F MarshDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
Elisabeth R ShanblattSiemens Medical Solutions USA, Inc., Malvern, Pennsylvania, USA.
Tristan NowakSiemens Healthineers, Forchheim, Germany.
Chelsea A S DunningSiemens Medical Solutions USA, Inc., Malvern, Pennsylvania, USA.
George S K FungSiemens Medical Solutions USA, Inc., Malvern, Pennsylvania, USA.
Bernhard T SchmidtSiemens Healthineers, Forchheim, Germany.
Cynthia H McColloughDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
Shuai LengDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.

Funding

Comprehensive characterization of coronary atherosclerotic disease using photon-counting-detector dual-source CT and its impact on patient managementR01EB028590 · NIBIB · MAYO CLINIC ROCHESTER · PI LENG, SHUAI, MCCOLLOUGH, CYNTHIA H · 2020 to 2023
$2.6M
NIBIB NIH HHS R01 EB028590NIH HHS R01 EB028590
6 · The paper itself

Abstract

backgroundPhoton 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.

methodsExperiments 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.

resultsIodine 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.

conclusionsAfter 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.

Indexed as

Contrast MediaPhotonsTomography, X-Ray ComputedCalibrationGadoliniumIodinePhantoms, ImagingWaterContrast MediaGadoliniumIodineWaterK‐edge imagingmulti‐energy CTphoton counting detector CTquantitative CT

Identifiers

PMID41058552
PMCPMC12570806

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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.