What’s New in Photon Counting CT?

July 27, 2026 · 10 articles · 8 research themes · covering July 20, 2026 – July 27, 2026

Overview

Across this week’s articles, photon-counting CT (PCD/PCCT) emerges as a platform for both improved quantitative material characterization and more efficient clinical imaging. Several studies emphasize spectral/energy-domain capabilities—such as voxelwise effective atomic number and electron density estimation, and virtual monoenergetic or virtual non-contrast reconstructions—to better separate tissue components (e.g., iodine vs calcification) and potentially reduce the need for additional scan phases. In parallel, clinical and phantom work in coronary imaging highlights that PCD-CT can improve detection and quantification of low-attenuation plaque, while also showing that reproducibility depends on reconstruction kernels and iterative settings—an important consideration for multicenter and mixed-scanner trial design.

Beyond cardiology, the digest shows broad momentum for PCCT in other organ systems and for CT beyond “static anatomy.” A prospective abdominopelvic study reports meaningful radiation dose reductions without loss of objective image quality, supporting PCCT’s role in routine multi-phase workflows. In pulmonary imaging, a narrative review points to intrinsic spectral imaging and improved dose efficiency/noise/spatial resolution as reasons PCCT may enhance detection and characterization in challenging or low-dose scenarios. Finally, CT-based precision phenotyping is reinforced by ARDS work using deformable registration and computational modeling to capture regional mechanical heterogeneity, while heart failure and hematologic malignancy reviews frame how integrated, patient-centered imaging strategies (including AI and modality selection trade-offs between WBCT and WBMRI) can move practice from descriptive imaging toward predictive decision support.

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Photon-Counting CT Physics & Quantitative Spectral Imaging

Power law spectral photon-counting CT for quantitative effective atomic number and electron density imaging.

This work developed and evaluated a scanner-specific power-law spectral photon-counting CT method to generate voxelwise effective atomic number (Zeff) and electron density (ρe) images on a commercial spectral photon-counting CT system using NIST cross-section fitting across 7–115 keV. The key finding was that the power-law model enabled quantitative Zeff and ρe estimation from SPCCT data, demonstrated using a QRM spectral-CT phantom containing soft-tissue-equivalent, hydroxyapatite, and iodine inserts. This provides a physics-based approach for more accurate tissue characterization (e.g., differentiating iodine from calcification) using spectral photon-counting CT.

Alzaabi M, Behouch A, Tariq B et al. · Physics in medicine and biology · (2026) · View on PubMed ↗ · Free PDF ↗

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Coronary Plaque Characterization & Reproducibility

Mixed coronary plaque phantom analysis by photon-counting CT: impact of calcium and iodine on low-attenuation plaque detection.

This study used a mixed coronary plaque phantom to compare photon-counting detector CT (PCD-CT) versus energy-integrating detector CT (EID-CT) for detecting low-attenuation plaque (LAP) under varying calcium and iodine conditions. PCD-CT with virtual monoenergetic reconstructions (40–130 keV) and different kernels/iterative settings improved LAP detectability relative to EID-CT, with performance influenced by the presence of calcified arcs and iodinated lumen within the phantom. These findings support using PCD-CT spectral/quantitative capabilities to enhance coronary plaque characterization in clinical trials where accurate LAP detection is critical.

Szilveszter B, Kolossváry M, Kubovje A et al. · European heart journal. Imaging methods and practice · (2026) · View on PubMed ↗ · Free PDF ↗

Coronary plaque quantification on energy-integrating and photon-counting detector CT: reproducibility and power modeling for mixed-platform trials.

This retrospective study compared coronary plaque quantification reproducibility between energy-integrating detector CT (EID-CT) and photon-counting detector CT (PCD-CT) in patients undergoing dual-platform coronary CT angiography within 30 days. It found that quantitative plaque component measurements (including low-attenuation plaque) varied by reconstruction kernel and quantum iterative reconstruction strength, and the authors identified settings that minimized variability and enabled power/sample-size modeling for mixed-platform trials. These results are significant for designing multicenter or mixed-scanner studies where consistent plaque quantification is required for reliable endpoints.

Vecsey-Nagy M, Hagar MT, Osoria-Velasquez J et al. · European radiology · (2026) · View on PubMed ↗ · Free PDF ↗

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Virtual Monoenergetic / Virtual Non-Contrast Imaging Applications

Photon-counting CT for hepato-bilio-pancreatic imaging: a qualitative head-to-head comparison with third-generation dual-source CT: preliminary results.

This retrospective study evaluated whether 190-keV virtual monoenergetic imaging (VMI) from photon-counting detector CT (PCD-CT) can act as a surrogate for true non-contrast (TNC) CT in hepatic steatosis quantification. In 49 patients, 190-keV VMI showed attenuation agreement with VNC (assessed via correlation and Bland–Altman analyses) and was compared against virtual non-contrast (VNC) reconstructions for liver attenuation behavior. This is clinically significant because it could reduce the need for true non-contrast scans when using PCD-CT to quantify fatty liver.

Foti G, Spoto F, Spezia A et al. · La Radiologia medica · (2026) · View on PubMed ↗

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Dose Reduction & Image Quality in Abdominopelvic CT

Single-Phase Surrogate for True Non-Contrast Liver CT Using 190-keV Monoenergetic Imaging on Photon-Counting CT: Implications for Hepatic Steatosis Assessment.

This prospective study compared photon-counting CT (PCCT) versus energy-integrating CT (EID-CT) in 94 adults undergoing multi-phase abdominopelvic imaging, focusing on radiation dose and image quality. The key finding was that PCCT significantly reduced radiation exposure (CTDIvol, DLP, and scan-length-normalized DLP) while maintaining or improving objective image quality metrics such as hepatic noise, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR), with subjective reader scores also assessed. This supports PCCT as a dose-efficient alternative for routine multi-phase abdominal/pelvic CT without sacrificing diagnostic image quality.

Ohtani T, Shimada M, Nishiyama K et al. · Academic radiology · (2026) · View on PubMed ↗

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Pulmonary Disease Detection & Imaging Performance

[The role of photon-counting CT technology in the detection of pulmonary diseases].

This narrative review studied the role of photon-counting CT technology in detecting pulmonary diseases by contrasting it with conventional energy-integrating detector CT limitations in clinical chest imaging. It found that photon-counting detector CT can improve dose efficiency, reduce image noise, increase spatial resolution, and provide intrinsic spectral imaging from a single acquisition, potentially improving diagnostic accuracy in low-dose or challenging scenarios. The review highlights photon-counting CT as a promising next-generation tool for pulmonary disease detection and characterization.

Rédei M, Gurza KB, Maurovich-Horvat P et al. · Orvosi hetilap · (2026) · View on PubMed ↗ · Free PDF ↗

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CT-Based Biomechanics & Precision Phenotyping (ARDS/VILI)

Quantitative assessment of lung mechanical properties in ARDS using X-ray computed tomography.

This study investigated how X-ray computed tomography (CT), combined with quantitative image processing, deformable image registration, and computational modeling, can assess regional lung mechanical properties in patients with acute respiratory distress syndrome (ARDS). The key finding is that CT-derived regional strain, recruitment, and inferred mechanical stress estimates can capture ARDS heterogeneity better than global physiologic measures. This supports CT-based precision phenotyping to guide ventilator management and potentially reduce ventilator-induced lung injury (VILI).

Gao J, Garberi R, Akor EA et al. · Intensive care medicine experimental · (2026) · View on PubMed ↗ · Free PDF ↗

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Heart Failure Imaging Integration & Predictive Phenotyping

The Future of Imaging in Heart Failure: Toward Precision Phenotyping, Integration, and Intelligence.

This review studied emerging imaging technologies for heart failure with the goal of moving from modality-siloed, descriptive imaging toward integrated, predictive, patient-specific phenotyping. It found that advances such as AI-enabled image analysis and improved imaging integration are accelerating precision phenotyping and decision support in heterogeneous heart failure populations. The review is clinically significant because it frames how next-generation imaging workflows could improve diagnosis, risk stratification, and treatment targeting.

Hundertmark MJ · Current heart failure reports · (2026) · View on PubMed ↗ · Free PDF ↗

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Whole-Body Imaging Strategy in Hematologic Malignancies (WBCT vs WBMRI)

Complementary Role of Whole-Body MRI and CT in Hematologic Malignancies and Bone Marrow Disorders.

This clinical review studied the complementary roles of whole-body MRI (WBMRI) and whole-body low-dose CT (WBCT) for hematologic malignancies and bone marrow disorders across diagnosis, staging, treatment response, and surveillance. The key finding was that practical factors—scanner access, expertise, patient tolerance, radiation considerations, and cost—often determine whether WBCT or WBMRI is preferred, with comparative evidence discussed for conditions such as multiple myeloma. This is significant for real-world imaging selection strategies that balance diagnostic performance with patient and system constraints.

Ghotbi E, Frick M, Cook J et al. · Journal of computer assisted tomography · (2026) · View on PubMed ↗

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Generated automatically on July 27, 2026. Covers PubMed articles published July 20, 2026 – July 27, 2026. Summaries are AI-generated; always consult the original publication for clinical or research decisions.