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MRI

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Radiology collaboration

Improved workflow and a touch of Disney magic

Improving workflow is one of the major challenges that radiology departments face. The need to be more efficient, deliver timely and effective patient care, and keep an eye on costs are all factors…

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Higher range, lower energy absorption

New high-frequency MRI coil to advance imaging

Anyone needing a tomography gets the clearest possible images of an organ or other body structure slice by slice. But the further inside the potential problem lies, the more difficult it is to obtain…

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'Thumbs up' for image reconstruction

Facebook AI accelerates MRI exams

Artificial intelligence (AI) image reconstruction dramatically reduces magnetic resonance imaging (MRI) scan time, according to new research. The first clinical study comparing AI-accelerated knee…

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He who seeks, finds

Pros and cons of MRI in breast cancer diagnosis

MRI is the most sensitive method to detect breast cancer. However, the current breast cancer guidelines for Europe, Germany and Austria, still only recommend it for certain indications: For early…

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RadClip

AI tool for MRI could transform prostate cancer surgery, treatment

Researchers at the Center for Computational Imaging and Personalized Diagnostics (CCIPD) at Case Western Reserve University have preliminarily validated an artificial intelligence (AI) tool to…

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Philips and InSightec partnership

Expanding access to MR-guided focused ultrasound for incisionless neurosurgery

Royal Philips and InSightec, a global healthcare company focused on the therapeutic power of acoustic energy, announced a collaboration to expand access to MR-guided focused ultrasound for…

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Imaging in tandem

MRE plus Fib-4 jointly detect liver fibrosis

Rather than using techniques separately, researchers have determined that coupling image-based and serum-based biomarkers achieves a higher diagnostic accuracy in detecting stage two liver fibrosis, or above. The study team, from the NAFLD Research Center, University of California at San Diego (UCSD), and colleagues at Yokohama City University in Japan, used magnetic resonance elastography (MRE)…

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AI-assisted MRI segmentation

Deep learning boost for prostate cancer workflow

Prostate cancer radiotherapy treatments guided by MRI are increasingly being explored to help improve patient outcomes and reduce toxicities after treatment. However, this development is being held back as the MRI approach is labour intensive and requires daily adaptive treatment planning, placing significant additional demands on clinician time and oncology services. To address this, a team of…

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The most compact .55-T full body scanner

Lungs plus A&E MRI scans – no problem

Low, light and with a field strength: 0.55-tesla with added new digital technologies. Indeed, this is a very new class of MRI scanner created by Siemens Healthineers. We interviewed Christiane Bernhardt, Vice President of Magnetic Resonance Marketing & Sales, Business Line MR, at Siemens Healthineers, about the technologies behind this development, plus its advantages and applications.

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Downsized imaging

Signals from a miniature MRI unit

Magnetic resonance imaging (MRI) is indispensable in medical diagnostics. However, MRI units are large and expensive to acquire and operate. With smaller and cost-efficient systems, MRI would be more flexible and more people could benefit from the technique. Such miniature MRI units generate a much weaker signal that is difficult to analyze, though. Researchers at the Göttingen Max Planck…

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Downsizing imaging

Siemens launches its smallest and most lightweight whole-body MRI

With its Magnetom Free.Max, Siemens Healthineers is presenting a new class of magnetic resonance imaging (MRI) systems that the company calls “High-V MRI.” The scanner’s unique combination of digital technologies and the new field strength of 0.55 tesla broadens the range of clinical applications for MRI systems. Magnetom Free.Max considerably improves pulmonary imaging with MRI and allows…

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Alternative for mammography

Breast cancer screening: Does the future belong to the abbreviated MRI?

Is mammography still the best method for breast cancer screening? For a number of breast cancers, the latest scientific findings suggest otherwise. For more than a decade, Professor Christiane Kuhl MD, Director of the Clinic for Diagnostic and Interventional Radiology at the University Hospital RWTH Aachen, has researched the use of MRI in breast cancer screening.

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Cardiovascular Magnetic Resonance

Insight on the use of CMR in COVID-19 patients

The Society for Cardiovascular Magnetic Resonance (SCMR), a Society dedicated to improving cardiovascular health by advancing the field of cardiovascular magnetic resonance (CMR), has released a formal statement supporting and explaining their position on the use of CMR in COVID-19 patients. The topic has led to debate among medical professionals, especially those in the cardiology specialty.

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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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