Keywords: Quantitative Imaging, Liver, Machine Learning, Segmentation
This work focuses on an empirical approach to determine water T1 from multiparametric MR images, including T1, PDFF and T2* maps. To this end, a multiple linear regression model was fit to describe the deviation in MOLLI T1 based on PDFF and T2* values, which were measured in phantoms built at increasing lipids and iron content. This method was validated on a cohort of healthy volunteers and diabetes subjects (n=45). Further investigations were conducted to elucidate the relationship between MOLLI T1 values, before and after correction for hepatic lipid and iron content, and liver stiffness measured by MR elastography.
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