What’s New in Photon Counting CT?

July 22, 2026 · 8 articles · 9 research themes · covering July 15, 2026 – July 22, 2026

Overview

Across this week’s set of studies, photon-counting detector CT (PCD/PCCT) emerges as a consistent theme: multiple groups report that PCCT can improve diagnostic performance or image quality while reducing radiation dose compared with conventional energy-integrating detector CT (EID-CT). In abdominal imaging, PCCT improved visualization of fine hepato-bilio-pancreatic anatomy, and in multi-phase abdominopelvic protocols it reduced CT dose metrics without degrading objective or subjective image quality. In coronary CTA for stable coronary artery disease, a systematic review/meta-analysis suggests PCCT’s spectral and spatial advantages may better reclassify vessel-level stenosis—potentially addressing calcium blooming and lowering the risk of overestimation and low-yield downstream invasive angiography referrals.

Several papers highlight how PCCT’s spectral capabilities can translate into workflow simplification and specialized clinical use. A patient study indicates that 190-keV virtual monoenergetic imaging can closely approximate true non-contrast CT for liver attenuation used in hepatic steatosis quantification, suggesting a path to avoid additional true non-contrast scans. Case-based neurovascular work supports feasibility of photon-counting CT angiography for detecting spinal arteriovenous fistulas, leveraging improved contrast-to-noise ratio. In oncology, dual-source PCCT with low-keV VMI helps differentiate skeletal manifestations in multiple myeloma, potentially supporting better whole-body phenotyping and staging. Finally, physics-focused work extends PCCT beyond diagnostic imaging: material-decomposition-based proton stopping power ratio and range estimation is analyzed to define configuration choices that minimize range uncertainty for proton therapy planning.

Complementing the PCCT-focused advances, an MRI feasibility study explores AI-driven acceleration for inversion recovery ultra-short echo time (IR-UTE) bone MRI of the knee. Using a denoising convolutional neural network to reconstruct undersampled 3D radial data, the approach aims to reduce scan time while preserving osseous image quality—reflecting a parallel trend toward faster, more practical imaging across modalities.

---

Coronary CT Angiography in Stable CAD (CTA Outcomes)

Comparison of Photon-Counting and Energy-Integrating Computed Coronary Tomography Angiography for Coronary Artery Disease: A Systematic Review and Meta-Analysis.

This preregistered PRISMA 2020–compliant systematic review and meta-analysis compared photon-counting detector CT (PCD-CT) versus energy-integrating detector CT (EID-CT) in adults with stable coronary artery disease undergoing coronary CTA. Across included studies, PCCT’s spectral capability and higher spatial resolution were associated with improved diagnostic performance for vessel-level stenosis reclassification, potentially mitigating calcium blooming and reducing stenosis overestimation and low-yield referrals to invasive coronary angiography. Clinically, these results support PCCT as a promising next-generation CTA technology to improve stenosis quantification and downstream decision-making in stable CAD.

Kurugalage R, Bhatia A, Mukherjee A et al. · JACC. Cardiovascular imaging · (2026) · View on PubMed ↗

---

Abdominal CT Applications (Hepatobiliary/Pancreatic Imaging)

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

This retrospective single-center study compared photon-counting detector CT (PCCT; Siemens NAEOTOM Alpha pro) versus third-generation dual-source energy-integrating detector CT (EID-CT; Siemens SOMATOM Force) for qualitative image quality of hepato-bilio-pancreatic anatomy in 25 patients scanned within 3 months. PCCT achieved improved reader-based visualization of hepato-bilio-pancreatic structures and anatomical detail relative to EID-CT, despite thinner PCCT reconstructions (0.4–0.6 mm vs 1.0 mm). These preliminary within-cohort results support PCCT as a potentially higher-performance CT platform for abdominal organ and duct imaging where fine anatomical delineation matters clinically.

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

---

Virtual Non-Contrast / Monoenergetic Imaging for Radiation Reduction

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

This retrospective study evaluated whether 190-keV virtual monoenergetic imaging (VMI) derived from photon-counting detector CT (PCD-CT) can act as a surrogate for true non-contrast (TNC) CT in 49 patients undergoing abdominal PCD-CT and MRI proton density fat fraction (PDFF) within 2 months. Attenuation from 190-keV VMI showed strong agreement with TNC for liver attenuation measurements used in hepatic steatosis quantification, with correlation and Bland–Altman analyses performed against TNC and compared to virtual non-contrast (VNC). If validated, 190-keV VMI could enable steatosis assessment without a separate true non-contrast scan, reducing radiation and simplifying workflows.

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

---

Radiation Dose Reduction in CT Protocols

Photon-counting CT vs. energy-integrating detector CT: image quality and radiation dose in multi-phase abdominopelvic imaging.

In a prospective study of 94 adults undergoing multi-phase abdominopelvic CT, photon-counting CT (PCCT) was compared with energy-integrating CT (EID-CT) for radiation dose and objective/subjective image quality. PCCT significantly reduced radiation exposure (CTDIvol, DLP, and scan-length-normalized DLP) while maintaining or improving objective metrics such as hepatic noise, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR), with blinded radiologists also scoring subjective image quality. These findings suggest PCCT can deliver dose savings for routine multi-phase abdominal/pelvic imaging without sacrificing diagnostic image quality.

Huang YF, Yang JF, Zhao L et al. · Radiation protection dosimetry · (2026) · View on PubMed ↗

---

CT Angiography for Neurovascular Disease (Spinal AV Fistulas)

Utility of Photon Counting Detector CT Angiography for Detecting Spinal Arteriovenous Fistulas.

This retrospective two-institution case series assessed the utility of photon-counting detector CT angiography for detecting spinal arteriovenous fistulas in eight patients. The authors used the inherent spectral sensitivity and improved contrast-to-noise ratio of photon-counting CT to identify and characterize spinal vascular pathology relevant to myelopathy. The report supports feasibility of photon-counting spinal CT angiography as a potentially more sensitive vascular imaging approach for a treatable cause of neurologic symptoms.

Madhavan AA, Bathla G, Hauck EF et al. · AJNR. American journal of neuroradiology · (2026) · View on PubMed ↗ · Free PDF ↗

---

Oncology Imaging of Bone Pathology (Multiple Myeloma)

Ultra-High-Resolution Dual-Source Photon-Counting CT for Expanded Characterization of Pathophysiological Imaging Patterns in Multiple Myeloma.

This retrospective study of 84 patients with multiple myeloma (including 53 therapy-naïve and 31 with precursor conditions) evaluated dual-source photon-counting CT (DS-PCCT) for expanded characterization of skeletal pathophysiology at initial diagnosis. Using attenuation characteristics from low-keV virtual monoenergetic images (VMI) derived from DS-PCCT, the study leveraged spectral and ultra-high spatial resolution to better differentiate axial and appendicular skeletal manifestations based on soft tissue and fat attenuation behavior. These results suggest DS-PCCT could improve whole-body assessment and phenotyping of myeloma-related bone involvement, potentially aiding staging and treatment planning.

Heidemeier A, Huflage H, Rasche L et al. · Investigative radiology · (2026) · View on PubMed ↗ · Free PDF ↗

---

Proton Therapy Planning with Photon-Counting CT (SPR/Range Estimation)

Optimal dimensionality and fundamental limits of proton stopping power estimation with photon-counting CT material decomposition.

This physics study investigated the optimal dimensionality and fundamental limits of proton stopping power ratio (SPR) and range estimation from photon-counting CT (PCCT) using material decomposition (MD) for proton therapy planning. Using eigentissue decomposition within a PCCT material-decomposition framework, the authors assessed how increasing the number of energy measurements and MD dimensionality affects SPR/range accuracy and range uncertainty. The work provides theoretical guidance on how to configure PCCT-based MD to minimize proton range errors and treatment margins, informing future clinical implementation.

Larsson K, Näsmark T, Andersson J et al. · Physics in medicine and biology · (2026) · View on PubMed ↗ · Free PDF ↗

---

AI Reconstruction for MRI (Bone Imaging Acceleration)

Fast MRI of bones in the knee - An AI-driven reconstruction approach for adiabatic inversion recovery prepared ultra-short echo time sequences.

This feasibility study aimed to accelerate radiation-free bone MRI of the knee using inversion recovery prepared ultra-short echo time (IR-UTE) sequences reconstructed with an AI-driven approach in healthy volunteers. A denoising convolutional neural network (DnCNN) trained on data from eight healthy subjects was used to reconstruct undersampled 3D radial IR-UTE knee data acquired with Pulseq, enabling faster 3D imaging of osseous tissue while preserving image quality. If robust, this AI reconstruction strategy could reduce MRI scan times for bone imaging and improve clinical practicality of IR-UTE bone MRI.

Nunn PH, Huflage H, Grunz JP et al. · Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) · (2026) · View on PubMed ↗ · Free PDF ↗

---

---

Generated automatically on July 22, 2026. Covers PubMed articles published July 15, 2026 – July 22, 2026. Summaries are AI-generated; always consult the original publication for clinical or research decisions.