The Focused Ultrasound Foundation (FUS) has published its 2020 State of the Field Report, a 63-page annual update detailing new potential indications, laboratory research, clinical trials, treatments and growth in worldwide procedures performed in 2019.
oyal Philips announced the completion of a regional informatics project that consolidates radiology and nuclear medicine imaging data. The Region of Southern Denmark now has a single system for storing, retrieving, and viewing clinical images across all the locations and specialties in its extensive healthcare system.
The field of AI-enhanced imaging provides radiologists with an unprecedented opportunity to shape patient care, leading Austrian radiologist Katja Pinker-Domenig explained at ECR 2020.
Carestream Health will offer insights on technology, innovative new products and research in medical imaging through a new webinar series titled Carestream Talks. The series will launch Oct. 28 with a segment on Bedside Imaging: An X-ray Room at Your Patient’s Bedside.
Siemens Healthineers is debuting its new fluoroscopy system, the Luminos Lotus Max, at the annual French JFR 2020 (Journées Francophones de Radiologie Diagnostique & Interventionnelle). The system offers industry-leading technology in radiography and fluoroscopy. “Combining these state-of-the-art technologies poses one major challenge: ensuring efficient workflows and high system…
The increased Covid-19 risk to cardiac patients was discussed during an online presentation at ECR 2020. Focusing on the prevalence of pulmonary embolism in Covid-19 patients, Dr Karl-Friedrich Kreitner, Professor of Radiology at the Department of Diagnostic and Interventional Radiology at the Johannes-Gutenberg University in Mainz, Germany, discussed hypotheses which can explain cardiac…
ESHNR is proud to bring you 20 hours of online education in the form of on-demand webinars. For a period of 6 weeks (October 24 – December 7, 2020), registered attendees can log in and watch at their own discretion a careful selection of webinars on the most common head and neck topics.
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…
Carestream Health has introduced a new digital radiography detector in the United States and Canada, enabling hospitals and imaging centers that specialize in long-length imaging to increase productivity while decreasing both patient discomfort and dose. With a single exposure, the Carestream DRX-L Detector captures long-length images by providing a large field of view and high resolution for…
Making the transition from clinician to a senior hospital management role can prove challenging. Professor Erika Denton did it – whilst also retaining some clinical responsibilities. A radiology background, Denton believes, is a major asset in making the move into high-level management. Currently the Medical Director of the Norfolk and Norwich University Hospital (NNUH) in the east of England,…
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…
Value-based healthcare is gaining momentum and radiologists must increasingly show their contribution in improving patient care. Artificial intelligence (AI) can help them to do so and brings a series of new opportunities, according to Charles E Kahn, Professor and Vice Chairman of Radiology at the University of Pennsylvania, speaking at a meeting in Madrid in January. AI can do a lot to improve…
Lack of understanding around Alzheimer’s disease (AD) has significantly slowed advances in the treatment of this incurable condition. Imaging has proved to be reliable in differentiating between AD and other forms of dementia, and its contribution will continue to help develop profiling, an increasingly interesting approach for the development of new and more efficient drugs, according to Sven…
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…
40 years ago, anticipating the huge impact of computers in radiology, a group of visionaries formed the Radiology Information System Consortium (RISC). In 1989, RISC created the Society for Computer Applications (SCAR) to promote computer applications in digital imaging. Those organisations became the Society for Imaging Informatics in Medicine (SIIM). At SIIM 2020, a virtual meeting, experts…
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…
Carestream Health’s ImageView software has received the Risk Management Framework Authority to Operate from the Department of Defense (DoD), paving the way for streamlined installations for defense customers. Defense Health Agency (DHA) Cybersecurity Logistics (CyberLog), part of DHA’s Medical Logistics (MEDLOG) Directorate, is widely considered to have extremely rigorous cybersecurity…
Dr Francis Zarb, senior radiography lecturer at the University of Malta, outlined challenges in correctly positioning patients needing musculoskeletal imaging. During our interview, he also offered a brief insight into the use of artificial intelligence (AI) in radiography today.
There are major complications from COVID-19 – ARDS, pulmonary embolism and neurological – that imaging can help detect, manage and/or follow up in the long term, radiologists from France and the UK explained during a recent ESR Connect session. ARDS is the most dreaded complication and the number one morbidity in COVID-19 patients. The incidence was up to 30% of patients in initial reports.…
The Artificial Intelligence (AI) landscape confronting the radiographer profession will be outlined in sessions at ECR 2020, with leading practitioners urging the need for an evidence-based approach in order to deliver a safe and effective service for patients. The session, under the broad heading of “Artificial intelligence and the radiographer profession”, aims to discuss AI within the…
The AI-Rad Companion family supports radiologists, radiation oncologists, radiotherapists and medical physicists through automated post processing of MRI, CT and X-ray datasets. It saves the clinicians' time and helps them to increase their diagnostic precision.
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…