Recently developed MRI techniques used to more precisely target a small area in the brain linked to Parkinson's disease and essential tremor may lead to better outcomes without surgery and with less risk of negative effects, a new study led by UT Southwestern researchers suggests.
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…
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…
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…
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…
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…
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…
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…
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…
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…
As radiologists worldwide continue to share their knowledge of COVID-19 to help fight the pandemic, two chest experts from France and Spain talked about their country perspectives and the practical experience at their hospital in a dedicated online session organized by the European Society of Radiology (ESR).
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…
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…
Cystic lesions of the pancreas can occur in many forms, not all of which pose a serious threat to the patient. A thorough diagnosis using multi-modality imaging is therefore indispensable to differentiate between benign and malignant lesions.
Researchers at Osaka University have developed a computer method that uses magnetic resonance imaging (MRI) and machine learning to rapidly forecast genetic mutations in glioma tumors, which occur in the brain or spine. The work may help glioma patients to receive more suitable treatment faster, giving better outcomes. The research was recently published in Scientific Reports. Cancer treatment…
This Christmas marks the 20th anniversary of the publication of “Magnetic resonance imaging of male and female genitals during coitus and female sexual arousal” in The BMJ. In its first year, it picked up the IgNobel prize for medicine, and has since become one of the most downloaded BMJ articles of all time. Dr Tony Delamothe, a former editor at The BMJ, ponders on its success.
Bringing the power of AI to routine imaging, Advanced intelligent Clear-IQ Engine (AiCE), Canon Medical’s Deep Learning Reconstruction (DLR) technology, is now being integrated across a broader portfolio of scanners with a wider range of clinical applications across modalities. Advanced intelligent Clear-IQ Engine (AiCE) was trained using vast amounts of high-quality image data, and features a…
MRI is now indispensable for diagnosing diseases and monitoring therapies. However, the ongoing discussion on gadolinium deposits in the brain has intensified the search for alternatives. Dr Daniel Paech of the German Cancer Research Centre in Heidelberg, Germany, discussed potential solutions to acquire high-quality images without contrast agents.
Biopsies are standard procedures in interventional radiology, not least for patients with a suspected tumor. In this instance, MRI is increasingly the method of choice for guiding minimally invasive tissue sampling. Yet this involves having to undergo repeated MRI scans, which patients find uncomfortable. In an ongoing R&D project, Fraunhofer researchers have now developed a system that…
The world’s first low-cost, point-of-care (POC) magnetic resonance imaging (MRI) system was presented by Hyperfine Research Inc. at the American College of Emergency Physicians (ACEP) Scientific Assembly 2019. The system aims to make MRI available anytime, anywhere, to any patient who needs it. Hyperfine makes MRI inexpensive, accessible, and easy to use by leveraging the ten million-fold…
The Queen Mary University of London team applied an artificial intelligence (AI) technique to analyse the heart MRI images of 17,000 healthy UK Biobank volunteers. They found that genetic factors accounted for 22-39 per cent of variation in the size and function of the heart’s left ventricle, the organ’s main pumping chamber. Enlargement and reduced pumping function of the left ventricle can…
An international research group at the Max Planck Institute for Biological Cybernetics developed a brain imaging method for improved and early assessment of stroke. Their study presents a methodology which monitors calcium ion fluctuations in the brain using a molecular functional MRI approach.
Cardiovascular magnetic resonance (CMR) imaging has become faster, simpler and more widely available in recent years because it has evolved to deliver effective assessment and diagnosis of a range of heart conditions with expanding guideline indications.
Findings from a comparative outcome study have highlighted the benefits of using cardiovascular magnetic resonance imaging (CMR) perfusion imaging as a first-line ischaemia test in patients with moderate risk of coronary artery disease (CAD). The MR-INFORM (Magnetic Resonance Perfusion or Fractional Flow Reserve in Coronary Disease) trial, which began in 2012 (results published in the New England…
A research group detected the MRI contrast agent gadolinium in tap water and in cola soft drinks bought in restaurants of well-known fast-food franchises in cities across Germany. Gadolinium appears not to impose any health risk at the low concentrations observed. However, it is an indicator of the potential presence of other waste water-derived, possibly toxic xenobiotics.