CT

Since its introduction in the 1970s, computed tomography has been a mainstay of radiology. Its overlay-free representation of body structures and the rapid availability of images make CT indispensable in the diagnostic assessment of numerous diseases, especially in emergency medicine. Modern CT systems not only offer innovative procedures for better image quality, but also reduce radiation exposure.

Article • Dunlee Whitepaper Presentation at ECR 2026

X-ray tubes: The overlooked bottleneck in modern CT imaging

Detector technology gets most of the attention in modern CT systems – but a new whitepaper by Dunlee, presented at ECR 2026, argues that the X-ray tube is equally decisive.

News • Image encryption approach

Embracing chaos to enhance cybersecurity of medical images

Leveraging the power of chaos theory, experts have developed a new way to encrypt medical images such as X-ray, CT and MRI scans, keeping them secure even if hospital networks are breached.

Article • Equity, access, and the future of radiotherapy

Radiation oncology: the beam widens

Radiation oncology is a field in remarkable transformation: a deepening global shortage of trained practitioners, persistent inequities in access to treatment – and, on the other side of the…

Video • "A Small Handle, a Big Impact"

How the get up® Transfer Aid Supports Patients & Staff in Radiology

“A small handle with a big impact.” Radiographers at Rheinland Klinikum Neuss in Germany report measurable physical relief in daily patient transfers thanks to the ceiling-mounted patient…

Unlocking the Full Potential of Your Ultra High-Resolution and Photon Counting CT Systems

Today’s advanced CT applications require outstanding spatial resolution for both image quality and workflow. To make the most out of the current detector technology, attention has shifted to…

News • Sharper images, less radiation

Lung cancer management: Photon-counting CT outperforms conventional CT

A study of 200 lung cancer patients shows photon-counting CT cuts radiation by 66% and contrast agent by 27% - while delivering sharper images and better tumor detection than conventional CT.

News • Clinically validated framework

AI helps detect kidney cancer faster

A novel machine-learning-based solution analyses CT images and helps radiologists detect both malignant and benign lesions in the kidney more quickly and reliably.

News • Adaptive re-planning

Repurposed radiotherapy scans to guide prostate cancer treatment

Radiotherapy is effective against prostate cancer but can cause side effects. Using AI, scientists found that images originally taken to help position patients could also predict rectal bleeding.

News • Identification of high-risk CAD patients

FFR-CT: AI tool predicts heart attack risk in angina patients

Can CT-derived fractional flow reserve (FFR-CT) be used in patients with angina to predict future major cardiovascular events? A novel AI-based approach for CCTA analysis yields promising results.

News • Lung cancer CT notification

Breast cancer: Keep CALM – and coordinate your screenings

Many women over 50 schedule mammograms for breast cancer but miss out on CT lung cancer screenings they're also eligible for. Targeted outreach coul help change this, a new study shows.

News • UHR, PCCT, and more

Integrated imaging solutions on display at RSNA 2025

Dunlee will present its portfolio of integrated imaging solutions at RSNA 2025 in Chicago, Illinois. The company will demonstrate technologies for diagnostic and therapeutic imaging applications, including developments in Ultra-High Resolution and Photon Counting CT (UHR & PCCT), components for MRI-guided breast biopsies, and onboard imaging systems for radiation therapy.

News • Foreign body aspiration

AI spots hidden objects lodged in patients' airways on CT

In a CT scan of the lungs, accidentally inhaled objects can be extremely subtle and easy to miss, even for experienced clinicians. A new AI model acts as a “second set of eyes” to help detect hidden cases.

Article • Expert perspectives from ESC 2025

Faster, smarter, deeper: how new technologies redefine cardiac imaging

Cardiac imaging is evolving, and new techniques continue to uncover the secrets of the heart for cardiologists who know how to use them. At the ESC 2025 Congress in Madrid, four experts explored cutting-edge developments across different modalities. Ranging from AI-assisted ultrasound image acquisition and accelerated MRI protocols to advanced prognostic tools for CT and nuclear imaging, these…

News • Pediatric Radiology

Medical imaging raises blood cancer risk in young patients

Study of 3.7 million children reveals small but significant increased risk of blood cancers from medical imaging radiation, with CT scans posing highest risk

News • Estimation of nodule malignancy risk

Lung cancer screening: AI to reduce false positives

Misinterpreting the malignancy risk of lung nodules often results in high false-positive rates, unnecessary follow-ups, increased patient anxiety and healthcare costs. A new study suggests that AI can fix this.

News • Computed Tomography

European debut for new Canon modular CT system

Canon announces the launch of the Aquilion One / Insight Edition 160, a new addition to its computed tomography (CT) portfolio. The new system made its debut at Röntgenveckan (Stockholm, Sweden).

News • Preventing maternal death

CT-based indicator helps predict life-threatening postpartum bleeding

Postpartum hemorrhage is a leading cause of maternal death. A new method could help predict which women experiencing severe bleeding after giving birth most likely need life-saving interventions.

News • Position and completeness assessment

3D CT analysis benefits liver tumor ablation

By analyzing CT images with 3D software, researchers demonstrated that small liver tumors can be successfully treated using ablation. This could enable more confident use of ablation treatments.

News • Radiology consensus statement

How to: CT imaging for post-Covid-19

CT imaging is important to detect residual lung abnormalities after a Covid-19 infection. To avoid confusion with interstitial lung diseases, experts from 14 countries published a best-practice guide.

News • Colorectal Cancer Screening

CT colonography proves more cost-effective than stool DNA tests

New research demonstrates CT colonography outperforms stool DNA testing in both clinical effectiveness and cost savings for colorectal cancer screening.

Article • Launch of new national program

A new “impulse” for equitable lung cancer screening in France

Lung cancer is the leading cause of cancer death in the EU, yet no organized screening program exists to detect the disease before symptoms appear. This September, France will strike back with an ambitious pilot program that could boost European lung cancer screening. Professor Marie-Pierre Revel presented the details at the French Thoracic Imaging Society Spring Days in Marseille, highlighting…

News • Diagnostic assistance

Pancreatic cancer: clinical deployment of AI system for early detection

Survival rates for pancreatic cancer rise drastically the earlier it is detected, but early-stage tumors are notoriously difficult to spot. A new AI-powered diagnostic system is set to improve this.

News • Deep learning-based assessment

AI ‘Sybil’ predicts lung cancer risk from single LDCT scan

A deep learning model was able to predict future lung cancer risk from a single low-dose chest CT (LDCT) scan, according to new research published at the ATS 2025 International Conference.

News • CT-based deep learning-driven tool

Liver cancer segmentation and detection with 'SALSA'

Results of a new retrospective study demonstrate the potential of a novel, CT-based deep learning-driven tool to enhance liver cancer diagnosis, treatment planning, and response evaluation.

News • Imaging immunocompromised patients

Pneumonia diagnosis: deep learning takes the grain out of ultra-low dose CT

To reduce the radiation exposure for patients undergoing frequent CT scans for pneumonia diagnosis, deep learning-based denoising of ultra-low dose CT presents a viable alternative.

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