ArticleMedical physics2025
User evaluation of detector performance in clinical photon-counting and energy-integrating CT scanners using DICOM images.
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.
What it found
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The trial behind it
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Who cites it
3 citing papers in PubMed.
- A physics primer on photon-counting detectors in CT: Physics, signal formation, and performance.Medical physics · 2026Review
- User evaluation of detector performance in clinical photon-counting and energy-integrating CT scanners using DICOM images.Medical physics · 2025Article
- Three-dimensional noise characteristics of clinical photon counting detector CT.Medical physics · 2025Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundClinical users have a critical need to routinely assess the performance of photon-counting detectors (PCDs) in PCD-CT scanners. Such assessments provide insights into detector characteristics, support protocol optimization, and inform decisions on future scanner acquisitions. Historically, this has been challenging due to limited access to raw detector data, which restricts direct evaluation of PCD performance. PURPOSE: To evaluate the zero-frequency detective quantum efficiency (
methodsDetector performance was evaluated on two Siemens NAEOTOM Alpha PCD-CT scanners and one Siemens SOMATOM Force energy-integrating detector CT (EID-CT) scanner. Air-only scans were performed in service mode across a range of tube potentials (70-140 kV) and tube currents (4-1200 mA). DICOM images were reconstructed on the scanner using a linear algorithm with a soft-tissue kernel (Br44). The noise power spectrum (NPS) of the images was used to estimate the mean detector output counts. Mean input photon numbers were estimated based on beam quality and exposure measurements. For the PCD-CT systems, tube current-sweep experiments were used to generate image variance-mA curves, from which detector deadtime was estimated using a previously validated parametric model.
resultsThe EID and PCD demonstrated comparable
conclusionsThe
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Registered trials
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