Magnetic Resonance Imaging

Magnetic resonance imaging (MRI) is the gold standard imaging modality for soft tissues. It produces detail cross-sectional images of soft tissue and bone anatomy, including muscles, tendons, ligaments, brain and organs, without the use of ionizing radiation. In addition to orthopedic imaging, MRI is also used for heart, brain and breast. MRI uses gadolinium contrast in many exams to highlight tissues and blood vessels, which enhances images and offers better diagnostic quality. It can also be used in conjunction with PET scans. How does MRI work? MR creates images by using powerful magnets to polarize hydrogen atoms in water (the body is made of of more than 80% water) so they face in one direction. A radiofrequency pulse is then used to ping these atoms, causing them to wobble, or resonate. The MRI coils detect this and computers can assemble images from the signals. Basic MRI scans will focus on the resonance of fat and water in two different sequences, which highlight and contrast different features in the anatomy.

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Radiologists should avoid MR imaging COVID-19 patients ‘except where absolutely necessary’

That’s according to new guidance on the deployment of magnetic resonance imaging during the pandemic issued recently by the American College of Radiology. 

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Canon scores FDA clearance for artificial intelligence engine that bolsters MRI quality

The Advanced Intelligent Clear-IQ Engine harnesses deep learning to help radiologists differentiate true magnetic resonance signals from noise. 

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Cigna labels most hospital-based CT, MR imaging ‘not medically necessary’

The nation’s fourth largest private payer detailed a small list of exceptions, including if a patient is less than age 10 or has a contrast agent allergy. 

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Poor MRI quality highlights radiologists’ need to address language barriers

Exams of patients who require a translator appeared to be of “significantly worse” quality, underlining the need to strengthen communication, according to new research in Abdominal Imaging. 

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Artificial intelligence predicts heart attack risk from cardiac MRI for the first time

University College London researchers harnessed this new tool to quickly analyze cardiovascular magnetic resonance images and determine the risk of other adverse events such as stroke.

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‘World's first’ bedside MRI machine scores FDA clearance, eyes summer rollout

Connecticut-based Hyperfine Research said its new point-of-care imaging tool carries a fraction of the cost and weight of a traditional magnetic resonance machine. 

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How one large hospital standardized its MRI protocols in 6 steps

Emory University recently devised a detailed process to ensure that such tests are delivered in a uniform fashion across its vast clinical enterprise.

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Radiology expert notches $250K from Amazon, Heart Association for speedier MRI interpretation

Chun Yuan beat out the competition by using cloud-computing tools and AI to predict cardiovascular risk through magnetic resonance knee scans. 

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