Researchers have developed 3D volume rendering methods for cardiac MRI that display complex structures within the heart and show blood flow. This can guide treatment decisions in pediatric patients.
A new kind of intraoperative MRI (iMRI) can perform functional MRI scans in real time during brain surgery — helping surgeons detect potential complications in as little as seven seconds.
Non-invasive, millimetre-scale diffusion MRI (dMRI) can be used to detect morphological changes in axons – a common hallmark of a wide range of neurological disorders, new research shows.
Can a full MRI scanner be shrunk to fit through a hospital door, moved by hand, and still produce diagnostic images – including 3D and DWI sequences? At the ESMRMB 2025 Congress in Marseille, Zhiyong Zhang, researcher at Shanghai Jiao Tong University, offered a detailed demonstration that the answer is yes – if you re-engineer every layer of the machine, from magnets to mobility.
Enter the "House of Fujifilm" at ECR 2026: At the radiology congress, the company will open a dedicated space featuring workshops, demonstrations, and knowledge-sharing opportunities.
At the JFR 2025 (Journées Françaises de Radiologie), the annual meeting of the French Society of Radiology, an organist and a neuroradiologist came together to share a story that bridges two worlds rarely seen in dialogue – that of sound and that of images. One listens, the other looks. Yet both try to understand the same mystery: what happens in the human brain when music takes control?
A novel AI-based method can distinguish between progressive brain tumours and radiotherapy-induced necrosis on advanced MRI. This could help clinicians more accurately identify and treat the issues.
Philips and Cortechs.ai have extended their collaboration to integrate AI-enabled quantitative neuroimaging analytics directly into MR systems. The partnership aims to provide radiologists with automated, objective measurements of brain structures and lesions to support diagnosis and monitoring of neurological conditions.
A patient reports with chest pain, but in the coronary angiogram, the main heart arteries look clear, so it cannot be angina – right? A new study reveals that this approach can easily lead to misdiagnosis.
Metal-organic frameworks (MOFs) serve as the basis for a novel type of MRI contrast agent, which the developers hope can outperform current agents while being less toxic for the patient.
Researchers developed an AI-assisted brain atlas for visualization at microscopic detail using MRI scans. The tool could transform early detection of Alzheimer's and other neurological diseases.
About 60% women in Europe enrolled in a national breast cancer screening programme who have a screening mammogram can feel reasonably confident that radiologists will be able to diagnose early-stage breast cancer. But what about the 30% categorised as having dense breasts, and the 10% who have extremely dense breasts? At the 2025 SBI (Society of Breast Imaging) Breast Imaging Symposium held in…
At the 2025 ESMRMB Annual Meeting in Marseille, speakers made a strong case for what remains an outsider in radiology: low-field MRI. Despite its affordability, improved performance, and reduced environmental footprint, the technology continues to face scepticism – not from regulators or patients, but from radiologists themselves.
An international team has developed an AI model that brings together medical imaging data and clinical information to calculate the risk of breast cancer tumour recurrence more accurately.
Magnetic resonance imaging (MRI) holds great potential to spare men with suspected prostate cancer a painful biopsy. In our interview, Dr. Peter Seidensticker, Head of Medical Affairs Radiology at Bayer, outlines how MRI could be implemented as a first-line diagnostic.
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…
At the EANS neurosurgery congress in Vienna, Italian medical imaging company Esaote presented I-Genius, a new open MRI system designed to provide real time checks during glioma surgery.
Researchers have developed a machine learning algorithm that uses cardiac MRI images to help identify breast cancer patients who may be at risk of cardiotoxicity during cancer treatment. The research, led by cardiologist Dr Paaladinesh Thavendiranathan from Toronto General Hospital University Health Network, was presented at the European Society of Cardiology's Cardio-Oncology Conference in…
Gadolinium-based contrast agents enhance visibility but also pose a significant health risk. A new AI-powered virtual MRI imaging technique is designed to offer a safer diagnostic approach.
