Researchers have developed cutting-edge imaging technology to help doctors better diagnose and monitor patients with heart failure. The state-of-the-art technology uses magnetic resonance imaging (MRI) to create detailed 4D flow images of the heart.
Using functional MRI with inhaled xenon gas, researchers have identified that long COVID symptoms are related to microscopic abnormalities that affect how oxygen is exchanged from the lungs to the red blood cells.
Physicians use AI-powered technology for faster and earlier detection of diseases. At ECR Overture, Dr Steven Schalekamp, PhD, discussed the application of AI for chest radiography in paediatrics.
Contrast-enhanced mammography (CEM) may be a useful alternative test for neoadjuvant therapy (NAT) response assessment in patients with breast cancer who are unable to undergo MRI.
The classification of brain tumors—and thus the choice of optimal treatment options—can become more accurate and precise through the use of artificial intelligence in combination with physiological imaging.
Incorporating AI support into clinical practice can reduce repetitive tasks, saving approximately one hour of chest CT interpretation time in a radiologist’s typical workday.
Medical imaging and radiotherapy treatment devices are essential lifesaving technologies. In an era when hospital information systems are increasingly being attacked by cybercriminals, just how protected and safe is this equipment?
Researchers visualize brain inflammation using diffusion-weighted MRI. This detailed "X-ray" of inflammation cannot be obtained with conventional MRI, but requires data acquisition sequences and special mathematical models.
A special type of MRI found lung abnormalities in patients who had previously had COVID-19, even those who had not been hospitalized with the illness.
Hyperpolarized nuclear magnetic resonance enables major medical advances in molecular diagnostics, for example for cardiovascular diseases or cancer therapy.
Cerebral white matter hyperintensities (WMH) can have a devastating impact on a patient’s life. Radiologists must learn to recognise these white spots in the brain and conventional imaging may just reveal the tip of the iceberg.
Advances in image post-processing and contrast-enhanced techniques have widened the scope of possibilities for MRI and ultrasound vascular imaging, experts showed in a dedicated course at the ECR Overture.
Ultra-powerful 7T MRI scanners could be used to help identify patients with Parkinson’s disease and similar conditions who are most likely to benefit from new treatments, say scientists.
Two successive studies highlight advances in non-invasive 3D ultrasound imaging, making it possible to observe blood flow in real time in the heart and the brain.
Dr Christina Malamateniou spoke to The European Society for Magnetic Resonance in Medicine and Biology about the recent review she led to help make MRI brain scans more accessible to autistic people.
Recently, a Korean research team has developed a 3D foot imaging technique that vividly captures peripheral blood vessels, even thinner than 1 mm. It combines photoacoustic and ultrasound images.
Portable MRI machines detected ischemic strokes, or strokes caused by clotting, in 90% of patients scanned.
Cedars-Sinai physician-scientists are pioneering imaging techniques and investigating new biomarkers to improve multiple sclerosis (MS) diagnosis and treatment.
Patients with neurological conditions such as dementia or autism can prove especially challenging for radiographers. A session at the ECR Overture in March gave insights to a patient-focused approach.
An algorithm built to assess scar patterns in patient heart tissue can predict potentially life-threatening arrhythmias more accurately than doctors can.
In the second year of the pandemic, JVCKenwood also draws a positive conclusion despite all difficulties. 'We were also able to welcome some highlights in 2021, both on the part of new monitors and new customers,' says Marcel Herrmann, Marketing Manager Medical Imaging. 'Nevertheless, the situation remains tense here and there.'
The appearance of ovarian lesions on ultrasound is an effective predictor of cancer risk that can help women avoid unnecessary surgery.
Synthetic correlated diffusion makes cancerous tissue glow in medical images could help doctors more accurately detect and track the progression of cancer over time.
A mathematical analysis of data obtained with a MRI approach can identify brain cell damage in people at early stages of Alzheimer's.
Using a novel probe for functional magnetic resonance imaging, researchers have devised a way to monitor individual populations of neurons and reveal how they interact with each other.