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'POEMS' for cardiology

New method tracks heart activity optical and electrical simultaneously

It is still elusive to what extent interactions between different cell types of the heart influence the normal heart rhythm and possibly trigger life-threatening arrhythmias. A new measurement method developed at the University of Bern combines for the first time optical and electrical recording of cardiac ventricular activation which, in conjunction with optogenetics, will permit finding…

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Dementia prevention

‘Blue spot’ in the brain helps detecting Alzheimer’s early

A miniscule area in the brain, known as the locus coeruleus (LC), or blue spot, can help to identify an increased risk of Alzheimer’s disease at a very early stage. The LC is hidden deep in the brainstem and can only be detected with advanced MRI equipment. Heidi Jacobs (Maastricht University/Harvard Medical School) used MRI scans to show that the tau protein can begin to spread in the LC three…

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Negative volume segmentation

Novel 3D image segmentation for literal ‘jaw-dropping’

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…

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Photon counting

Major CT advancement receives FDA clearance

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…

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Additional costs that pay off

For women with dense breasts, MRIs are cost effective for detecting breast cancer

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…

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Pregnancy imaging

Machine learning predicts placenta health from MRI scans

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)…

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Sponsored • X-ray QA

Triple celebrations in Sweden

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…

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After a heart attack

3D mapping of post-infarction scarring increases prognostic potential of cardiac MRI

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…

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Promising algorithm

AI tool improves breast cancer imaging accuracy

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…

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Blood clots in the legs

Machine learning algorithm to diagnose deep vein thrombosis

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.

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Medical Device Regulation

MDR certification for Agfa Class IIa solutions

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…

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Imaging assistance

Deep learning method boosts MRI results without new data

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…

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Overheard at ISRRT

Radiography reflection of Covid on the frontline

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…

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SPECT/CT, MPI and more

The value of hybrid imaging in the cardiac arena

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…

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Predictive plaques

Using AI for personalised prediction of heart attack

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…

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Diagnosis, prognosis, prediction

AI offers advances in cardiovascular imaging

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…

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Sponsored • Flexibility and freedom of movement

C-arm adds accuracy to cardiovascular interventions

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…

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Immersive imaging distraction

VR system to reduce MRI scan anxiety

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…

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Neurology

Supercomputer helps create 3D synthetic brain models

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…

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Imaging staff back-up

A new remote scanning service to support MRI operation

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…

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VR app for children

Kids' fear of MRI: Let the penguins handle it

"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).

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