Contact shielding is one of the most divisive areas in radiography. Is it still essential in protecting patients from radiation, or has new technology made this precaution obsolete? Two experts debated the issue at the ISRRT congress in Dublin.
Delegates at an international radiography conference were given an insight into the impact Covid-19 has had on their profession and practice in five countries across the world. A special session at the online ISRRT (International Society of Radiographers and Radiological Technologists) congress in Dublin (August 20-22) heard experiences from Thailand, Nigeria, Italy, India and Ireland, with…
Unsupervised deep learning breaks new ground by predicting the progression of COVID-19 and survival of patients directly from their chest CT images.
Combining imaging modalities is helping to achieve better diagnostic and therapeutic outcomes for heart patients. The topic, discussed in detail by experts at the ICNC-CT online International Conference on Nuclear Cardiology and Cardiac CT, examined hybrid/fusion imaging as the standard in cardiovascular imaging, and its value in clinical practice. Professor Terrence Ruddy spoke about the role of…
An AI-led device to assess coronary CT angiographs has been designed to assess cardiac plaque that may lead to myocardial infarction (MI). In his presentation ‘Vascular inflammation and cardiovascular risk assessment using coronary CT angiography’ (CCTA), Charambalos Antoniades, Professor of Cardiovascular Medicine at the University of Oxford, presented the research team’s findings during…
Coronary computed tomography angiography (CCTA) is a non-invasive imaging test which can be used to evaluate coronary artery stenosis and measure plaques. Current plaque analysis is time-consuming and needs expert readers in order to help assess a patient’s heart attack risk. That’s about to change.
Artificial Intelligence (AI) is providing numerous opportunities across clinical care in the field of cardiovascular imaging. While challenges remain, AI is being applied in terms of diagnosis and prognosis, defining cardiovascular imaging pathways, and image acquisition and analysis. It can also help cardiologists predict which patients may do well, or which treatments are best applied to those…
Alongside the worldwide increase in longevity, inevitably with chronic health conditions rising, cardiovascular procedures and OR utilisation have surged. Thus the efficient and safe performance of surgeries is even more important. The intraoperative use of mobile C-arms increases accuracy, improving clinical outcomes, which can significantly reduce revision rates and thus overall healthcare…
Claustrophobia or anxiety can overwhelm small children and people with cognitive difficulties, especially in a confining and noisy MRI scanner tube. Their restless reactions can then render scan images useless. To help such patients to relax during scanning, a team from King’s College London (KCL) has designed an immersive environment with a special virtual reality (VR) headset for use with MRI…
Scientists are using artificial intelligence (AI) and the Cambridge-1 supercomputer to synthesise artificial 3-D MRI images of human brains and create models that show disease states across various ages and genders. The Synthetic Brain Project is focused on building deep learning models which have been developed by King’s College London (KCL) and NVIDIA data scientists and engineers as part of…
In an effort to promote access to professional breast imaging knowledge, the European Society of Radiology (ESR) now links to educational materials from DenseBreast-info.org as a resource for its members about the screening and risk implications of dense breast tissue.
Siemens Healthineers has recently started offering its customers WeScan, a new service that helps healthcare providers to perform MRI examinations if they lack qualified radiology staff. With the WeScan service, customers may seek access to a pool of skilled remote imaging technologists who help operate the MRI scanner using syngo Virtual Cockpit, the remote scanning software of Siemens…
"You hear the noises, but they don't bother you at all": Since 2019, the “Pengunaut Trainer" has been preparing children for magnetic resonance imaging (MRI) examinations through role play. The app was developed under the leadership of the University Duisburg-Essen (UDE) and the Essen University Hospital (UK Essen).
An EPFL scientist has found that brain fingerprints – or maps of the neural connections within our brain – can be used to detect a decline in cognitive ability. That’s because the fingerprints are harder to detect in people who already have mild cognitive impairment.
A team of scientists at Argonne National Laboratory has leveraged artificial intelligence to train computers to keep up with the massive amounts of X-ray data taken at the Advanced Photon Source.
The healthcare sector’s emphasis on meeting its Quadruple Aim goal—cost reduction, clinical outcomes, enhance the patient and caregiver experience, and improve the work-life of healthcare providers—encourages the medical imaging and informatics industry to use advanced technologies to tap into growth prospects. Frost & Sullivan’s recent analysis, Global Medical Imaging &…
At a virtual European event, Fujifilm Healthcare Europe presented a complete and integrated portfolio of diagnostic products and services, including CT, MRI, X-ray, AI, PACS, endoscopy and ultrasound systems. This launch follows the completion of Fujifilm's acquisition and takeover of Hitachi's Diagnostic Imaging-related business on 31 March 2021 for 179 billion yen (€1.3 billion).
The Covid-19 pandemic continues to impact people’s health across the world. This goes beyond the disease itself, as healthcare systems adapt how they provide services. Routine screening has been severely affected with screening programmes reduced or paused.
Artificial intelligence (AI) could match the impact of PACS on radiology. Covid-19 stimulated the development and testing of AI diagnostic-aiding tools in radiology, an unintended consequence of the pandemic. More image data sets have been created to train AI software – an unexpected benefit for radiology research.
The contribution of Artificial intelligence (AI) has great potential in breast imaging efficiency, Professor Linda Moy MD told attendees at the 2021 Society of Breast Imaging/American College of Radiology (SBI/ACR) Breast Imaging Symposium this April. AI models for breast imaging have focused mainly on the diagnostic classification and detection of breast cancer.
Canon Medical announced the commercial launch of the Aplio i-series / Prism Edition, a complete redesign of its premium ultrasound series. In addition, Aplio a-series, Canon Medical’s routine-to-advanced imaging range has also received a significant refresh.
Researchers report that they have developed a method to combine three brain-imaging techniques to more precisely capture the timing and location of brain responses to a stimulus. Their study is the first to combine the three widely used technologies for simultaneous imaging of brain activity. The work is reported in the journal Human Brain Mapping. The new "trimodal" approach combines…
A new positron emission tomography (PET) radiotracer can detect abdominal aortic aneurysms (AAAs) and potentially predict when they will rupture, according to research presented at the Society of Nuclear Medicine and Molecular Imaging 2021 Annual Meeting. Targeting a novel biomarker associated with AAA, the radiotracer is effective both in diagnosis and in providing information to assist in the…
The effects of Covid-19 on the brain can be accurately measured with positron emission tomography (PET), according to research presented at the Society of Nuclear Medicine and Molecular Imaging (SNMMI) 2021 Annual Meeting. In the study, newly diagnosed Covid-19 patients, who required inpatient treatment and underwent PET brain scans, were found to have deficits in neuronal function and…
A new imaging technique has the potential to detect neurological disorders at their earliest stages, enabling physicians to diagnose and treat patients more quickly.
