AI-assisted model enhances low-quality MRI heart scans

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 images, while reducing the time needed to scan the heart by about 90%.

A cardiac magnetic resonance imaging (MRI) scan usually takes anywhere from 30 to 90 minutes. The scans can reveal important information on how well the heart is working and if there are any problems. But they aren’t always clear or of great quality, as movement can reduce image quality.

That’s where TagGen, the AI-assisted model developed by Mizzou researchers, can make a big difference.

“If you have a blurry image, you have very few ways to recover the fine details or quality of the image,” said Changyu Sun, the lead researcher. “The sharpness reveals very important information for the clinical diagnosis, like if there’s abnormal movement or any dysfunction.”

A paper on this technology is published in the journal Magnetic Resonance in Medicine.

Sign up for Blog Updates