What’s New in Photon Counting CT?

May 23, 2026 · 5 articles · 8 research themes · covering May 16, 2026 – May 23, 2026

Overview

Across these studies, photon-counting detector CT (PCD-CT) emerges as a central theme, with multiple groups focusing on how to preserve diagnostic performance while improving efficiency—especially through dose reduction, protocol optimization, and reconstruction choices. Benchmarking work comparing PCD-CT to conventional energy-integrating detector CT (EID-CT) in non-contrast head CT highlights a pathway to systematically characterize image quality across acquisition parameters and support emergency imaging protocol optimization. Complementing this, temporal bone phantom-and-clinical data identify dose-reduction limits for PCD-CT that maintain detectability, reinforcing the feasibility of lower-dose CT in targeted anatomical applications.

On the coronary side, the literature emphasizes that both acquisition and post-processing matter for quantitative accuracy. A prospective study using deep learning for coronary plaque quantification on ultra-high resolution PCD-CT shows that spatial resolution settings influence both subjective image quality and the measured stenosis/plaque volumes—guiding practical parameter selection for coronary assessment. In parallel, a phantom study demonstrates that quantum iterative reconstruction (QIR) measurably affects objective stent evaluation metrics (e.g., contrast-to-noise ratio and stent strut visualization), underscoring the importance of reconstruction strategy for reliable quantitative coronary device imaging.

Finally, a scoping review broadens the context by mapping innovations in pediatric imaging across non-invasive modalities (ultrasound, X-ray, CT, and MRI) and synthesizing evidence from 2015–2025. Together, these papers suggest a field moving toward more tailored, evidence-based imaging workflows—where advanced detector technology (PCD-CT), smarter reconstruction, and automated analysis are increasingly integrated to improve diagnostic confidence while reducing patient burden.

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Pediatric Imaging Innovations & Evidence Synthesis

Innovations in pediatric imaging: a scoping review of the past decade with case illustrations.

This scoping review studied innovations in pediatric imaging across non-invasive modalities (ultrasonography, X-ray, CT, and MRI) using MEDLINE-indexed English-language original studies published from 2015–2025, supplemented by illustrative cases from the authors’ institutional pediatric cohort. The review found a rapidly expanding and increasingly important pediatric imaging literature over the past decade, with multiple emerging approaches and applications highlighted through case illustrations. Clinically, it provides a structured overview to guide evidence-based imaging choices and future research priorities in pediatric diagnostic work-ups.

Beer MJ, Schaal MC, Neubauer H · World journal of pediatrics : WJP · (2026) · View on PubMed ↗ · Free PDF ↗

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PCD-CT Protocol Benchmarking vs Energy-Integrating CT (EID-CT)

Photon Counting CT of the Head: Retrospective Analysis of Image Quality and Dose in Comparison to Energy Integrating Detector CT.

This retrospective study compared photon-counting detector CT (PCD-CT) for non-contrast head CT (NCCT) in patients scanned at 120 and 140 kVp with varying radiation doses versus patients scanned on a modern energy-integrating detector CT (EID-CT) system. The key finding was that PCD-CT image quality and dose performance could be systematically characterized across acquisition parameters and benchmarked against EID-CT, addressing a gap in NCCT data. Scientifically and clinically, it supports optimizing emergency NCCT protocols by leveraging PCD-CT’s potential for dose reduction without sacrificing diagnostic image quality.

Schoenbeck D, Kroeger JR, Moenninghoff C et al. · Academic radiology · (2026) · View on PubMed ↗ · Free PDF ↗

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Deep Learning for Coronary Plaque Quantification on CT

Deep Learning-Based Automated Coronary Plaque Quantification with Ultra-high Resolution Photon-Counting Detector CT at Different Spatial Resolutions.

This prospective single-center study evaluated deep learning–based automated coronary plaque quantification in 70 patients with suspected coronary artery disease undergoing ultra-high resolution photon-counting detector CT (UHR-CCTA), reconstructing datasets at 0.6 mm (standard resolution), 0.4 mm (high spatial resolution), and 0.2 mm (ultra-high resolution) slice thicknesses. The key finding was that varying spatial resolution affected both subjective image quality and the deep learning tool’s quantification of coronary stenosis and plaque volumes. This is significant because it informs how to select spatial resolution settings on PCD-CT to maximize diagnostic accuracy for coronary plaque assessment.

Liu Y, Li R, Zhang H et al. · Academic radiology · (2026) · View on PubMed ↗ · Free PDF ↗

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Reconstruction Algorithms (e.g., Quantum Iterative Reconstruction) for PCD-CT

Effect of quantum iterative reconstruction on coronary stent assessment in ultra-high resolution photon-counting detector CT: a phantom study.

This phantom study tested the effect of quantum iterative reconstruction (QIR) on coronary stent assessment metrics—contrast-to-noise ratio (CNR), lumen diameter, and stent strut thickness—using ultra-high resolution photon-counting detector CT (PCD-CT) in a 3D-printed coronary phantom with multiple stent types. Acquired at 120 and 140 kVp with retrospective helical acquisition in UHR mode, the key finding was that QIR measurably influenced objective image quality and stent visualization parameters relevant to quantitative stent evaluation. This is significant for optimizing reconstruction strategies on PCD-CT to improve reliability of coronary stent measurements in imaging workflows.

Scheuer ST, Kusk MW, Sæderup H et al. · European radiology experimental · (2026) · View on PubMed ↗ · Free PDF ↗

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Temporal Bone CT Imaging & Diagnostic Detectability

Appropriate dose reduction using photon-counting detector CT for temporal bone imaging: phantom and clinical studies with helical acquisition.

This phantom-and-clinical study assessed how much radiation dose could be reduced using photon-counting detector CT (PCD-CT) for temporal bone imaging while maintaining image quality equivalent to standard-dose energy-integrating detector CT (EID-CT). Using visual scoring of clinical temporal bone images, phantom imaging quality testing, and detectability index (d’) comparisons across dose levels, the study identified a dose-reduction limit for PCD-CT that preserved performance relative to EID-CT. Clinically, it provides evidence to implement lower-dose temporal bone CT protocols using PCD-CT while maintaining diagnostic detectability.

Takahashi Y, Higaki F, Nakamura Y et al. · Japanese journal of radiology · (2026) · View on PubMed ↗ · Free PDF ↗

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Generated automatically on May 23, 2026. Covers PubMed articles published May 16, 2026 – May 23, 2026. Summaries are AI-generated; always consult the original publication for clinical or research decisions.