Radiology, sonography and beyond: Keep reading to find out how imaging techniques like MRI, CT and ultrasound can be used in the diagnosis of diseases and the guidance of medical procedures.
Researchers at the Skolkovo Institute of Science and Technology (Skoltech) led by Professor Dylov and their colleagues from First Pavlov State Medical University of St. Petersburg, Russia, have developed a brand-new approach to the task of 3D image segmentation — figuring out the contours of the constituent parts in a complex structure. While their so-called negative volume segmentation…
The U.S. Food and Drug Administration (FDA) cleared the first new major technological improvement for Computed Tomography (CT) imaging in nearly a decade. “Computed tomography is an important medical imaging tool that can aid in diagnosing disease, trauma or abnormality; planning and guiding interventional or therapeutic procedures; and monitoring the effectiveness of certain therapies,” said…
New research indicates that MRIs are cost effective for detecting breast cancer for women with very dense breasts detected by mammography. About 10% of women have extremely dense breasts, and current mammography screening guidelines do not recommend additional imaging tests unless there is a strong family history or genetic risk for breast cancer. Such women face two problems. They have increased…
Machine learning methods are being used to predict the health of the placenta from a 30-second MRI scan. Researchers hope the approach will offer an insight into the health of expectant mothers and unborn babies by detecting the early signs of dangerous conditions such as pre-eclampsia. Researchers from the School of Biomedical Engineering & Imaging Sciences at King’s College London (KCL)…
The Swedish RTI Group reports three notable milestones in 2021, including its 40th year in specialised X-ray safety manufacturing. In 1981, the DIGI-X model – the first commercially available multimeter to measure non-invasive kV – was launched. ‘Subsequent developments have included world firsts, in both quality assurance (QA) hard- and software, of the Mini-X, PMX-II, Barracuda and…
A multidisciplinary team of scientists based at the Universidad de Valladolid and the Centro Nacional de Investigaciones Cardiovasculares (CNIC) has developed a highly efficient method for identifying the 3-dimensional features of the scar tissue formed after a myocardial infarction. The study was carried out in partnership with scientists and clinicians at Hospital Clínico San Carlos, Hospital…
A computer program trained to see patterns among thousands of breast ultrasound images can aid physicians in accurately diagnosing breast cancer, a new study shows. When tested separately on 44,755 already completed ultrasound exams, the artificial intelligence (AI) tool improved radiologists’ ability to correctly identify the disease by 37 percent and reduced the number of tissue samples, or…
A team of researchers are developing the use of an artificial intelligence (AI) algorithm with the aim of diagnosing deep vein thrombosis (DVT) more quickly and as effectively as traditional radiologist-interpreted diagnostic scans, potentially cutting down long patient waiting lists and avoiding patients unnecessarily receiving drugs to treat DVT when they don’t have it.
Agfa HealthCare is proud to be one of the first companies to receive the new European Medical Device Regulation (MDR) certification, which was issued by Intertek on 25 August 2021. This certification, which covers Agfa HealthCare’s Class IIa Enterprise Imaging and Xero Viewer solutions, ensures that Agfa HealthCare can continue to deliver to customers innovative solutions that meet their real…
When patients undergo an MRI, they are told to lie still because even the slightest movement compromises the quality of the images and can create blurred spots and speckles known as artifacts. Moreover, a long acquisition time is usually required to provide high-quality MRI images. A team of researchers from Washington University in St. Louis has found a new deep learning method that can minimize…
Contact shielding is one of the most divisive areas in the field of radiography today. Some practitioners believe it remains an essential part of protecting patients from radiation, while others believe the risk has reduced significantly in recent years. The matter was debated at a session at the online ISRRT (International Society of Radiographers and Radiological Technologists) congress in…
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…
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 &…
