#MRI

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MR Elastography

MRE plus Fib-4 prove highly accurate in liver fibrosis detection

Researchers have found that coupling image-based and serum-based biomarkers achieves a higher diagnostic accuracy in detecting stage 2 liver fibrosis or above, than using the techniques separately. They reached their conclusions after using magnetic resonance elastography (MRE) in tandem with the serum-based Fib-4 clinical prediction rule.

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Outstanding radiologist

International recognition for Dr Jamie MacKay

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…

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Neuro-oncology

Challenges in brain tumour segmentation

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…

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Showcased at virtual ISMRM meeting

MRI image analysis and workflow software platform launched

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…

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Breast cancer imaging

Should Gadolinium-based contrast agents be used in breast DTI?

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…

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Future of contrast agents

Gadolinium in MRI is here to stay (at least for a while)

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…

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Corona in radiology

Revealing COVID-19-related brain injury in MRI and CT imaging

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.

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Deep learning in imaging

1.5T MR system receives FDA clearance for AI-based image reconstruction technology

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…

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Nanoparticles

Luminescent substance allows accurate viewing of body parts

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.

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Deep Learning in Radiology

New Levels of Precision with Self-learning Imaging Software

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…

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From the MS Experts Summit

An update on MR imaging in Multiple Sclerosis

This year’s ”MS Experts Summit” sees 18 clinicians and researchers convene online for seven sessions during this summer. Under the motto “People with MS: 360º evidence-based daily management” international speakers with expertise in various domains of multiple sclerosis (MS) exchange their latest advances in managing patients suffering from this disease. In his talk “MRI imaging in…

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Magnetic pull on catheters

Fringe Field Navigation transforms endovascular surgery

A new technique could enable vascular surgeons to reach even the more difficult body regions. Instead of pushing catheters into minute veins, the system, devised in Canada by Professor Sylvain Martel and team at the Polytechnique Montréal Nanorobotics Laboratory, uses magnetic forces to pull a guidewire, or catheter, into remote physical locations, guiding medical instruments into narrow and…

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Algorithmic enhancement

Improved MRI scans could aid in development of arthritis treatments

An algorithm that analyses MRI images and automatically detects small changes in knee joints over time could be used in the development of new treatments for arthritis. A team of engineers, radiologists and physicians, led by the University of Cambridge, developed the algorithm, which builds a three-dimensional model of an individual’s knee joint in order to map where arthritis is affecting the…

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Multiple sclerosis MRI imaging

Software finds white matter damage in brain tissue

Random Walk Imaging (RWI), a company developing novel software solutions for magnetic resonance imaging (MRI), announced positive data from a study in multiple sclerosis (MS) patients using its proprietary scanning method and software protocol. Data from the study, which was conducted at the Danish Research Centre for Magnetic Resonance, Copenhagen University Hospital Hvidovre, demonstrated a…

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Imaging on the road

A mobile MRI that could fit in a van

MRI imaging is one of the best ways of examining different body tissue and obtaining information about injuries and illnesses. However, MRI scanners are typically large, heavy, and very expensive devices that need to be operated by specially trained healthcare personnel. Aalto University has just launched a project that studies and builds new magnetic resonance imaging technology, which enables…

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Two-way magnetic resonance tuning

New double-contrast technique picks up small tumors on MRI

Early detection of tumors is extremely important in treating cancer. A new technique developed by researchers at the University of California, Davis, offers a significant advance in using magnetic resonance imaging (MRI) to pick out even very small tumors from normal tissue. The work is published in the journal Nature Nanotechnology. Chemical probes that produce a signal on MRI can be used to…

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Dynamic measurement of glucose in brain

New MRI technique for early detection of Alzheimer's

A research team co-led by a scientist at City University of Hong Kong (CityU) has discovered a new, non-invasive way to detect early-stage Alzheimer’s disease, helping patients get the necessary treatments around 10 years before any symptoms appear. In collaboration with Johns Hopkins University in the US, Dr Kannie Chan Wai-yan, Associate Professor in the Department of Biomedical Engineering…

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First biomarker for regenerative medicine

MRI predicts efficacy of stem cell therapy for brain injury

Scientists at Sanford Burnham Prebys Medical Discovery Institute and Loma Linda University Health have demonstrated the promise of applying magnetic resonance imaging (MRI) to predict the efficacy of using human neural stem cells to treat a brain injury—a first-ever “biomarker” for regenerative medicine that could help personalize stem cell treatments for neurological disorders and improve…

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Algorithm-assisted diagnostics

AI in imaging: not as reliable as you'd think

Machine learning and AI are highly unstable in medical image reconstruction, and may lead to false positives and false negatives, a new study suggests. A team of researchers, led by the University of Cambridge and Simon Fraser University, designed a series of tests for medical image reconstruction algorithms based on AI and deep learning, and found that these techniques result in myriad…

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Pediatric cancer imaging

DW MRI measures tumor chemotherapy response with less radiation

Whole body diffusion-weighted magnetic resonance imaging (DW MRI) may aid in the assessment of cancer treatment response in children and youth at much lower levels of radiation than current approaches, suggests a small study funded by the National Institutes of Health. The results appear in Radiology. Researchers compared DW MRI, which measures the density of tumors by tracking the movement of…

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Physical contact research

Two people, one MRI: The science of cuddling

Researchers at Aalto University and Turku PET Centre have developed a new method for simultaneous imaging brain activity from two people, allowing them to study social interaction. In a recent study, the researchers scanned brain activity from 10 couples. Each couple spent 45 minutes inside the MRI scanner in physical contact with each other. The objective of the study was to examine how social…

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X-Nuclei MRI

Oxygen provides insights into tumour metabolism

Magnetic resonance imaging (MRI) usually measures the magnetic moment of the hydrogen atomic nuclei arising from the spin. However, scientists at the German Cancer Research Centre (DKFZ) are investigating the spin of other nuclei for imaging: ‘X-nuclei imaging has a large potential for MRI imaging as the x-nuclei play an important part in many physiological processes,’ according to doctor and…

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Contrast & new biomarker

Detecting early-stage cancer with targeted MRI

A new method to detect cancer in its early stages using a targeted MRI contrast agent that binds to proteins has been identified by a team of researchers led by Georgia State University Regents’ Professor Jenny Yang. In their study, published in the journal Science Advances, Yang and her colleagues at Georgia State and Emory University describe a newly identified biomarker for detection of…

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