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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MRI should be a standard diagnostic tool for fetuses with known congenital heart disease

The modality can detect certain anomalies difficult to spot using only ultrasound, researchers reported in the Journal of the American College of Cardiology.

Hyperfine doling out thousands of free brain MRIs, RSNA21’s final tallies, plus more vendor news

Also, Royal Philips expands through acquisition, U.K. antitrust regulators investigating Microsoft's acquisition of Nuance, and Fujifilm installs an MRI scanner in an NFL stadium. 

Philips MRI

MRI detects 67% of lymph node metastases in patients with prostate cancer, research shows

The modality could be a noninvasive alternative to lymphadenectomy for the detection of cancer spread, experts explained in the European Journal of Radiology.

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Conventional radiography superior to MRI for certain spinal imaging, new research shows

Still, the best results are achieved when the two modalities are combined, according to a study published in Insights Into Imaging.

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Deep learning rivals fellowship-trained radiologists at segmenting breast cancers on MRI

Researchers trained their platforms on more than 60,000 individual breast scans, significantly more than most architectures.

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Machine learning uses MRI to predict lymphovascular invasion in breast cancer patients

These algorithms could fill in where postoperative biopsy sometimes falls short, experts explained in Academic Radiology.

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Advanced MRI technique significantly improves radiologists’ ability to image the pancreas

Rads preferred scans produced via this post-processing method in 96% of cases, experts reported in Clinical Imaging

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AI-MRI combo predicts dementia with 94% accuracy in patients with memory loss

The findings hold "considerable clinical significance" for patients with memory loss and could help guide early interventions for those who might go on to develop dementia, experts reported this week.