Liver Fat Fraction (FF) quantification is essential for the early diagnosis and monitoring of various liver diseases, including Non-Alcoholic Fatty Liver Disease (NAFLD) and metabolic syndrome [1]. Accurate assessment of liver FF can help prevent disease progression and aid in the management of liver disorders [2]. The DIXON MRI method is widely used for FF estimation, but there's a need to optimize the existing imaging protocols in terms of accuracy and reproducibility [3].

This study aims to introduce a multi-component tissue-mimicking phantom for simulating Fat Fraction (FF) measurements, optimize liver FF quantification on that, and compare %FF measurements from two local MRI protocols using a modified Multi-Echo Gradient Echo (MEGRE) Dixon technique and an in-house PACS-embedded tool, qMRI Utilities-X.