Fully Automated High-Throughput Quantitative MRI of the Liver
University of Wisconsin, Madison
Summary
The purpose of this research is to see if a new automated magnetic resonance imaging (MRI) method will be able to improve the images taken of the liver. Participants will have either known or suspected liver disease, known or suspected iron overload syndrome, or be a healthy adult. Participants will be in the research study for one day.
Description
The overall purpose of this work is to develop, implement and test a "single-button push", integrated combination of innovative MRI solutions to enable low-cost quantitative evaluation of chronic liver disease in less than 5 minutes of true MRI suite time. The aim is to design a reliable, low variability, fully automated, highly efficient MRI exam. The primary objective is to demonstrate a free-breathing 2D CSE-MRI method that is robust to motion and free of bias when compared to the reference 3D CSE-MRI method. Secondary objectives include optimization of the methods in healthy volunteers,…
Eligibility
- Age range
- 7+ years
- Sex
- All
- Healthy volunteers
- Yes
Eligibility Criteria for Substudies 1, 2, 4, 5 Inclusion Criteria: * Age 18 years or older Exclusion Criteria: * Patients with contraindication to MRI (e.g. pacemaker, contraindicated metallic implants, claustrophobia, etc) * Pregnant or trying to become pregnant (as determined by self-report during MRI safety screening) Eligibility Criteria for Substudy 3 Inclusion Criteria: * Age 7 years or older * One of: * Known or suspected liver iron overload * Known or suspected elevated liver fat Exclusion Criteria: * Patients with contraindication to MRI (e.g. pacemaker, contraindicated…
Interventions
- DeviceNon-contrast MRI with novel MRI software
The investigational software being used in automatic prescription of the imaging is an application of an AI algorithm. This software prescribes where the MRI system will take images by finding the liver within a set of localizer scans. The software gives coordinates to the scanner.
Location
- University of WisconsinMadison, Wisconsin