Zhou Z, et al. - The feasibility of using small-window entropy imaging was investigated for the analysis of fatty liver disease along with its performance through comparisons with parametric imaging based on the Nakagami distribution model. During this research, liver donors and patients were recruited to assess hepatic fat fractions (HFFs) using magnetic resonance spectroscopy and the stages of fatty liver disease (normal, mild, moderate and severe) using liver biopsy with histopathology. Small-window entropy imaging gave rise to the highest area under the receiver operating characteristic curve. This data suggested that the performance of non–model-based entropy imaging, using the small-window technique, was more favorable compared to other techniques in fatty liver assessment.