What’s New in Photon Counting CT?

July 19, 2026 · 7 articles · 7 research themes · covering July 12, 2026 – July 19, 2026

Overview

Across this week’s set of studies, a dominant theme is the expanding capability of photon-counting (spectral) CT—both for clinical vascular/oncologic applications and for quantitative imaging methods that go beyond conventional Hounsfield-unit CT. Work in suspected spinal arteriovenous fistulas suggests photon-counting CT angiography can improve detection and characterization of treatable myelopathy causes. In multiple myeloma, dual-source photon-counting CT with ultra-high spatial resolution and spectral information improved skeletal characterization patterns, supporting more informative whole-body staging. Complementing these clinical directions, physics and methods papers show how spectral modeling and decomposition choices can enable more accurate material/SPR/range estimation for proton therapy and more quantitative tissue characterization via voxelwise effective atomic number and electron density.

Cardiac imaging is another major thread, with photon-counting CT used to address a key limitation of late iodine enhancement myocardial scar imaging: low contrast-to-noise ratio. By optimizing spectral analysis settings and reconstruction parameters, the study identifies combinations that meaningfully improve scar contrast. In parallel, a narrative review reinforces the clinical role of cardiac CT angiography (CCTA) as a first-line noninvasive test for ruling out coronary artery disease in low-to-intermediate pretest probability patients, while also highlighting selected acute/emergency uses and a broader focus on atherosclerosis characterization.

Finally, the digest includes a non-CT modality advance: an AI-driven reconstruction approach for faster, radiation-free knee bone MRI using an inversion recovery prepared ultra-short echo time (IR-UTE) 3D radial sequence. By training a denoising convolutional neural network on undersampled data, the feasibility study supports accelerated 3D osseous imaging while preserving sufficient signal-to-noise for bone visualization—showing how AI reconstruction is also helping overcome acquisition-time constraints in musculoskeletal imaging.

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Photon-Counting CT for Vascular Imaging (CT Angiography)

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

This retrospective two-institution case series studied photon-counting detector CT angiography in eight patients with suspected spinal arteriovenous fistulas. The key finding was that photon-counting spinal CT angiography enabled detection and characterization of spinal arteriovenous fistulas in this clinical population. This supports photon-counting CT angiography as a promising, higher-contrast vascular imaging technique for diagnosing a treatable cause of myelopathy.

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

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Photon-Counting/Spectral CT for Quantitative Tissue Characterization

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

This study 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. The key finding was that fitting a power-law model of the X-ray attenuation coefficient (photoelectric + Compton + empirical correction terms) to NIST cross sections enabled quantitative Zeff and ρe imaging that was applicable to tissue characterization in heterogeneous samples. This is significant for improving quantitative tissue characterization beyond conventional CT by exploiting photon-counting spectral information.

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

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Photon-Counting CT for Cardiac Imaging (Myocardial Scar & CCTA)

Image-quality optimization for late iodine enhancement with photon-counting CT: impact of spectral analysis and reconstruction parameters.

This single-center retrospective study evaluated late iodine enhancement (LIE) myocardial scar imaging in 74 patients using photon-counting detector CT (PCD-CT), testing how spectral analysis and reconstruction parameters affect image quality. The key finding was that specific combinations of spectral analysis settings and reconstruction kernels/slice thickness meaningfully impacted LIE contrast-to-noise ratio, addressing the clinical limitation of low CNR. This is important because optimizing PCD-CT acquisition/reconstruction could improve noninvasive myocardial scar detection.

Bruno E, Palmisano A, Pisu F et al. · La Radiologia medica · (2026) · View on PubMed ↗

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Photon-Counting CT for Oncology Staging (Multiple Myeloma)

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

This retrospective study evaluated dual-source photon-counting CT (DS-PCCT) in 84 multiple myeloma patients at initial diagnosis, using low-keV virtual monoenergetic images derived from spectral attenuation of soft tissue and fat. The key finding was that DS-PCCT with ultra-high spatial resolution and spectral imaging improved axial and appendicular skeletal characterization patterns of myeloma-related pathophysiology. This could enhance whole-body staging and lesion characterization for multiple myeloma by leveraging photon-counting spectral information.

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

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Photon-Counting CT Physics for Proton Therapy Planning

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

This physics study assessed the fundamental limits of proton stopping power ratio (SPR) and range estimation from photon-counting CT using photon-counting CT material decomposition, focusing on how dimensionality of the decomposition affects accuracy. The key finding was that increasing material-decomposition dimensionality can improve SPR/range estimation feasibility, but there are intrinsic limits determined by the measurement model and noise/energy information content of PCCT. This is clinically important for proton therapy planning because more accurate SPR/range estimation can reduce range uncertainty and treatment margins.

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

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AI-Enhanced MRI for Musculoskeletal Imaging

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 investigated an AI-driven reconstruction method for fast MRI of knee bone using an inversion recovery prepared ultra-short echo time (IR-UTE) 3D radial sequence in eight healthy subjects for training a denoising convolutional neural network (DnCNN). The key finding was that supervised DnCNN denoising combined with undersampled IR-UTE data (with CG-SENSE reconstruction) enabled accelerated 3D bone imaging while maintaining sufficient signal-to-noise for osseous visualization. This is significant because it advances radiation-free, faster bone MRI acquisition using AI reconstruction to overcome IR-UTE time constraints.

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 ↗

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Clinical Review of Cardiac CT (CCTA in Practice)

[Computed tomography in cardiology: its necessity and developments].

This narrative review summarized the necessity and developments of computed tomography in cardiology, focusing on the clinical role of cardiac CT angiography (CCTA). The key finding was that CCTA is established as a first-line noninvasive test for ruling out coronary artery disease in low-to-intermediate pretest probability patients and can also support selected acute/emergency use cases. This is significant because it frames how modern CCTA extends beyond stenosis assessment to broader coronary atherosclerosis characterization for improved patient management.

Breitbart P, Giokoglu E, Yikit E et al. · Innere Medizin (Heidelberg, Germany) · (2026) · View on PubMed ↗ · Free PDF ↗

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Generated automatically on July 19, 2026. Covers PubMed articles published July 12, 2026 – July 19, 2026. Summaries are AI-generated; always consult the original publication for clinical or research decisions.