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.
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.
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.
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 ledger, a new generation of technologies, from AI-driven adaptive planning to photon-counting CT, that are expanding what the field can do in ways previously unimaginable. At this year’s World Health Expo…
“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 transfer aid febromed get up®.
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 utilizing the X-ray source to increase spatial resolution, through extra small focal spots.
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.
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.
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.
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.
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.
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.
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.
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…
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
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.
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).
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.
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.
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.
