Issues including resolution, portability and deployment need to be addressed for low-field MRI to be effective in underserved areas or sparsely populated regions, , according to a speaker at ACTRIMS.“ ...

In a recent study published in the journal Science Advances, researchers described a deep learning (DL)-based reconstruction framework to accelerate brain magnetic resonance imaging (MRI) at 0.055 ...

For years, researchers and medical companies have explored low-field MRI systems (those with a magnetic field strength of less than 1 T) — searching for a feasible alternative to the loud, expensive ...

Hospital MRI scanners, using 3 Tesla magnets, provide poor spatial resolution in brain imaging. More recent 7T MRIs are better but used mainly in the rare research lab. Scientists have now ...

Prototype of a low-power, compact, and shielding-free MRI scanner using an open 0.05 Tesla permanent magnet. It incorporates active sensing and deep learning to address electromagnetic interference ...

An AI-assisted model developed by researchers from the University of Missouri School of Medicine and the School of Engineering can take low-quality MRI heart scans and turn them into high quality ...

Magnetic resonance imaging (MRI) is a popular imaging modality in preclinical research because it delivers multiparametric information on tissues and organs in a noninvasive manner. The small ...

MRI is a powerful diagnostic tool, but the size and cost of the machinery limits where it can be used. Scientists at the University of Hong Kong (HKU) have now developed a more compact and affordable ...

Discussions About Goals of Care and Advance Care Planning Among Adolescents and Young Adults With Cancer Approaching the End of Life We conducted a retrospective study of contrast-enhanced breast MRIs ...