Validation of a standardized MRI method for liver fat and T2* quantification

Area of Science:

• Magnetic Resonance Imaging (MRI)
• Medical Imaging Analysis
• Quantitative MRI

Background:

• Proton density fat fraction (PDFF) quantification accuracy varies with vendor-specific MRI protocols.
• Standardized and reproducible methods are needed for routine clinical use in assessing liver conditions.

Purpose of the Study:

• To validate a novel, confounder-corrected, cross-vendor, and cross-field-strength MRI method called LMS IDEAL.
• To assess its suitability for routine clinical quantification of PDFF and T2*.

Main Methods:

• LMS IDEAL incorporates patented and novel methods to correct confounds like water-fat ambiguity, T2* relaxation, and field inhomogeneity.
• Validation used publicly available phantom data and in vivo human volunteer data from the UK Biobank study.
• Cloud-based image processing ensures fast, standardized clinical results.

Main Results:

• LMS IDEAL demonstrated excellent agreement across vendors and field strengths in phantom studies.
• In vivo assessment showed robust performance compared to established PDFF and T2* estimation methods.
• The method proved resilient to potential sources of error in MRI quantification.

Conclusions:

• LMS IDEAL offers a robust and unbiased approach for PDFF and T2* estimation using chemical shift-encoded MRI.
• This validated algorithm supports accurate quantification of hepatic steatosis and iron overload.
• It contributes to improved diagnostic capabilities for chronic liver diseases.