Improving workflow is one of the major challenges that radiology departments face. The need to be more efficient, deliver timely and effective patient care, and keep an eye on costs are all factors that seem to be ever-present in the modern imaging department. With the added demands of the coronavirus pandemic as radiology departments continue to play a critical role in the fight against…
Anyone needing a tomography gets the clearest possible images of an organ or other body structure slice by slice. But the further inside the potential problem lies, the more difficult it is to obtain high-resolution images in magnetic resonance imaging (MRI). An international team of scientists led by the University of Duisburg-Essen (UDE) has developed a high-frequency coil that allows for much…
Artificial intelligence (AI) image reconstruction dramatically reduces magnetic resonance imaging (MRI) scan time, according to new research. The first clinical study comparing AI-accelerated knee MRI scans with conventional scans shows that the AI scans are not only diagnostically interchangeable with conventional ones, but also produce higher quality images. Results of this interchangeability…
MRI is the most sensitive method to detect breast cancer. However, the current breast cancer guidelines for Europe, Germany and Austria, still only recommend it for certain indications: For early detection in high risk patients, for differentiation between scarring and recurrences after breast-conserving treatment and to detect cancers of unknown primary site. This is the theory. However, in…
Researchers at the Center for Computational Imaging and Personalized Diagnostics (CCIPD) at Case Western Reserve University have preliminarily validated an artificial intelligence (AI) tool to predict how likely the disease is to recur following surgical treatment for prostate cancer. The tool, called RadClip, uses AI algorithms to examine a variety of data, from MRI scans to molecular…
Royal Philips and InSightec, a global healthcare company focused on the therapeutic power of acoustic energy, announced a collaboration to expand access to MR-guided focused ultrasound for incisionless neurosurgery. By developing compatibility between Philips’ advanced MR systems and the Exablate Neuro platform from InSightec, the two companies will support expanded access to MR-guided focused…
To target ionised radiation as precisely as possible, imaging a tumour is vital in radiotherapy planning. ‘Today, imaging is used increasingly during the therapy itself,’ explained Professor Mark Ladd during the 51st annual meeting of the German Society for Medical Physics (DGMP).
Men die about five years earlier than women across the world. As initiatives to boost awareness of men’s health unfolded in November, an international project is bringing the forefront of AI research to tackle prostate cancer (PC), the second most frequent type of cancer in men and the third most lethal in Europe.
Rather than using techniques separately, researchers have determined that coupling image-based and serum-based biomarkers achieves a higher diagnostic accuracy in detecting stage two liver fibrosis, or above. The study team, from the NAFLD Research Center, University of California at San Diego (UCSD), and colleagues at Yokohama City University in Japan, used magnetic resonance elastography (MRE)…
Low, light and with a field strength: 0.55-tesla with added new digital technologies. Indeed, this is a very new class of MRI scanner created by Siemens Healthineers. We interviewed Christiane Bernhardt, Vice President of Magnetic Resonance Marketing & Sales, Business Line MR, at Siemens Healthineers, about the technologies behind this development, plus its advantages and applications.
Prostate cancer radiotherapy treatments guided by MRI are increasingly being explored to help improve patient outcomes and reduce toxicities after treatment. However, this development is being held back as the MRI approach is labour intensive and requires daily adaptive treatment planning, placing significant additional demands on clinician time and oncology services. To address this, a team of…
Magnetic resonance imaging (MRI) is indispensable in medical diagnostics. However, MRI units are large and expensive to acquire and operate. With smaller and cost-efficient systems, MRI would be more flexible and more people could benefit from the technique. Such miniature MRI units generate a much weaker signal that is difficult to analyze, though. Researchers at the Göttingen Max Planck…
With its Magnetom Free.Max, Siemens Healthineers is presenting a new class of magnetic resonance imaging (MRI) systems that the company calls “High-V MRI.” The scanner’s unique combination of digital technologies and the new field strength of 0.55 tesla broadens the range of clinical applications for MRI systems. Magnetom Free.Max considerably improves pulmonary imaging with MRI and allows…
In the first study of its kind in cancer, researchers have applied artificial intelligence to measure the amount of muscle in patients with brain tumours to help improve prognosis and treatment.
Is mammography still the best method for breast cancer screening? For a number of breast cancers, the latest scientific findings suggest otherwise. For more than a decade, Professor Christiane Kuhl MD, Director of the Clinic for Diagnostic and Interventional Radiology at the University Hospital RWTH Aachen, has researched the use of MRI in breast cancer screening.
The Society for Cardiovascular Magnetic Resonance (SCMR), a Society dedicated to improving cardiovascular health by advancing the field of cardiovascular magnetic resonance (CMR), has released a formal statement supporting and explaining their position on the use of CMR in COVID-19 patients. The topic has led to debate among medical professionals, especially those in the cardiology specialty.
Radiologist Dr Jamie MacKay has achieved international recognition for his research using advanced imaging to help patients with osteoarthritis and other musculoskeletal conditions. MacKay, who is a radiologist at the Norfolk and Norwich University Hospital (NNUH) and lecturer at University of East Anglia (UEA), has been elected as a Junior Fellow of the International Society for Magnetic…
Neuroradiologist Dr Sofie Van Cauter described the challenges to brain tumour image segmentation during the European Society of Medical Imaging Informatics (EuSoMII) annual meeting in Valencia. She also outlined how, when clinically validated, AI could help tackle such problems. The WHO classification of brain tumours has come a long way since first introduced in 1979. The 2016 classification was…
Random Walk Imaging AB (RWI), a company developing novel software solutions for diffusion magnetic resonance imaging (MRI), announced the launch of its first commercial software product for clinical researchers and radiologists. The dViewr Powered by Mice Toolkit is the result of a collaboration with Nonpi Medical AB, with whom RWI has entered into an exclusive license and development agreement…
The accuracy of breast cancer diagnosis via diffusion-tensor imaging (DTI) was equivalent both before and after the administration of a gadolinium-based contrast agent (GBCA), despite a value change in DTI parameters, finds a new research article. “However,” wrote first author Anabel M. Scaranelo of Princess Margaret Cancer Centre’s breast imaging division in Toronto, “the limitations in…
Manganese and iron oxide contrast agents can replace gadolinium-based contrast agents (GBCA) in a number of MRI examinations, but gadolinium remains a strong candidate when properly indicated, especially with AI-driven dose reduction and advances to increase relaxivity, a French expert explained at ECR 2020. GBCA have been MRI companions for many years. In France, 30% of all MR examinations are…
Injuries in the nervous system of patients with severe COVID-19 are revealed by magnetic resonance imaging (MRI) and computed tomography (CT). In a study of 185 patients, researchers at Karolinska Institutet (KI) and Karolinska University Hospital show an affection of microscopic blood vessels and inflammation in the brain, meninges and nerves. The results are published in Radiology.
Canon Medical Systems USA, Inc. has received 510(k) clearance on its Advanced intelligent Clear-IQ Engine (AiCE) for the Vantage Orian 1.5T MR system, continuing to expand access to its new Deep Learning Reconstruction (DLR) technology. This technology, which is also available on the Vantage Galan 3T MR system and across a majority of Canon Medical’s CT product portfolio, uses a deep learning…
Researchers have designed a fluid that works like a luminous ink to obtain very sharp images of damaged tissues, organs and cartilages in diagnostic tests. This new compound, still in the laboratory phase, reduces adverse effects on the human body because it allows lower amounts to be injected and the dose to be targeted only at the affected area.
The complex form of machine learning DLIR (Deep Learning Image Reconstruction) is based on a deep neuronal network which is similar to the human brain. The artificial neurons of this network learn according to their biological model through intensive training. For the DLIR image reconstruction, the network is fed with sample data from phantom images on the one hand and high-resolution images of…