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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4D flow MRI has potential role for detecting complications in patients with aortic disease

One Northwestern Medicine researcher said the "landmark" findings take providers one step closer to using the tool for clinical decision making.

September 9, 2021

Deep learning diagnoses disabling neurological condition on MRI in under 1 second

The platform—DystoniaNet—was 98.8% accurate at diagnosing the condition, and with further testing, may soon be in clinics, experts explained recently.

September 30, 2020
Collaborators from a number of international centers, led by the European Molecular Biology Laboratory-European Bioinformatics Institute, published their findings Wednesday in Nature. Using MRI scans, along with morphology and genetic data, they showed that this network of heart muscle fibers—known as the trabeculae—can influence the heart’s performance.

Thousands of MRI scans help experts understand 500-year-old heart mystery first described by Leonardo da Vinci

Artificial intelligence also played a large role in discovering how this intricate network of muscle fibers can influence health, experts explained in Nature.

August 19, 2020

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. 

April 13, 2020

ADHD medication can negatively impact child brain development

A commonly prescribed drug used to treat attention-deficit/hyperactivity disorder (ADHD) disproportionately affects the development of children’s brains compared to adults with ADHD, according to a new study published in Radiology.

August 13, 2019
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How Secure Is That Scanner?

In a world of networked medical devices, it’s not hard to imagine a radiology-heavy cyberattack that is not only malicious but also ingenious.
 

June 25, 2019

SBRT an effective local treatment for HCC patients

“The results of this research are extremely exciting, as it will significantly impact clinical care,” reported study author Mishal Mendiratta-Lala, MD, with the division of abdominal radiology at Michigan Medicine in Ann Arbor.

May 10, 2019
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Cardiac MRI-derived T2 mapping may help heart failure patients

Researchers used T2 mapping taken from weekly cardiac MRIs to help identify cardiotoxicity at an early stage, according to results of a pig study published Feb. 18 in the Journal of the American College of Cardiology. The findings could help cancer patients at risk of chemo-induced heart failure.

February 22, 2019
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Around the web

Cardiovascular Business
AI improves CT assessments, boosts care for real-world heart patients

Automated AI-generated measurements combined with annotated CT images can improve treatment planning and help referring physicians and patients better understand their disease, explained Sarah Jane Rinehart, MD, director of cardiac imaging with Charleston Area Medical Center.

Cardiovascular Business
AI predicts cardiovascular risk during CT scans—no invasive tests or contrast required

Two advanced algorithms—one for CAC scores and another for segmenting cardiac chamber volumes—outperformed radiologists when assessing low-dose chest CT scans. 

Radiology Business
Google teams with Bayer to address radiologist burnout via AI

"Gen AI can help tackle repetitive tasks and provide insights into massive datasets, saving valuable time," Thomas Kurian, CEO of Google Cloud, said Tuesday. 

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