Automated High-Speed MRI to Measure Liver Fat and Iron Using AI Technology

What this Trial Is About

Researchers are evaluating a new fully automated magnetic resonance imaging MRI method designed to improve liver imaging. This study includes participants who have known or suspected liver disease, iron overload syndrome, or are healthy adults. The goal is to develop an efficient MRI exam that provides accurate, low-cost quantitative evaluation of chronic liver disease in less than 5 minutes of MRI suite time. The study aims to compare a new free-breathing 2D chemical shift encoded MRI CSE-MRI method with a reference 3D CSE-MRI method to confirm accuracy and reliability. The research involves a single-button push, fully automated MRI protocol that uses artificial intelligence for automated image prescription and innovative MRI Smart Suite technology. Participants are divided into six substudies, including healthy volunteers and patients with liver fat or iron overload. Depending on the substudy, participants undergo MRI scans lasting from under 10 minutes to about 3.5 hours, with some scanned multiple times at different MRI field strengths 1.5T and 3T. Some participants will wear RFID or Bluetooth bracelets to track MRI suite time and workflow. Participants will attend one study visit where they undergo MRI scans, anthropometric measurements, and other assessments. The study measures include accuracy and repeatability of liver fat and iron quantification, image quality, technical success of the automated exam, and total time spent in the MRI suite. Data is collected via imaging and automated analysis, with participants monitored for about one day during the visit. This research is sponsored by the University of Wisconsin, Madison.

Fully Automated High-Throughput Quantitative MRI of the Liver