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Background: Water T1 of the liver has been shown to be promising in discriminating the progressive forms of fatty liver diseases, inflammation, and fibrosis, yet proper correction for iron and lipid is required. Purpose: To examine the feasibility of an empirical approach for iron and lipid correction when measuring imaging‐based T1 and to validate this approach by spectroscopy on in vivo data. Study Type: Retrospective. Population: Next to mixed lipid‐iron phantoms, individuals with different hepatic lipid content were investigated, including people with type 1 diabetes (N = 15, %female = 15.6, age = 43.5 ± 14.0), or type 2 diabetes mellitus (N = 21, %female = 28.9, age = 59.8 ± 9.7) and healthy volunteers (N = 9, %female = 11.1, age = 58.0 ± 8.1). Field Strength/Sequences: 3 T, balanced steady‐state free precession MOdified Look‐Locker Inversion recovery (MOLLI), multi‐ and dual‐echo gradient echo Dixon, gradient echo magnetic resonance elastography (MRE). Assessment: T1 values were measured in phantoms to determine the respective correction factors. The correction was tested in vivo and validated by proton magnetic resonance spectroscopy (1H‐MRS). The quantification of liver T1 based on automatic segmentation was compared to the T1 values based on manual segmentation. The association of T1 with MRE‐derived liver stiffness was evaluated. Statistical Tests: Bland–Altman plots and intraclass correlation coefficients (ICCs) were used for MOLLI vs. 1H‐MRS agreement and to compare liver T1 values from automatic vs. manual segmentation. Pearson's r correlation coefficients for T1 with hepatic lipids and liver stiffness were determined. A P‐value of 0.05 was considered statistically significant. Results: MOLLI T1 values after correction were found in better agreement with the 1H‐MRS‐derived water T1 (ICC = 0.60 [0.37; 0.76]) in comparison with the uncorrected T1 values (ICC = 0.18 [−0.09; 0.44]). Automatic quantification yielded similar liver T1 values (ICC = 0.9995 [0.9991; 0.9997]) as with manual segmentation. A significant correlation of T1 with liver stiffness (r = 0.43 [0.11; 0.67]) was found. A marked and significant reduction in the correlation strength of T1 with liver stiffness (r = 0.05 [−0.28; 0.38], P = 0.77) was found after correction for hepatic lipid content. Data Conclusion: Imaging‐based correction factors enable accurate estimation of water T1 in vivo. Level of Evidence: 1 Technical Efficacy: Stage 1 [ABSTRACT FROM AUTHOR]