Abstract: A new method using ultrasound backscatter Tsallis information entropy imaging for assessing hepatic steatosis is proposed. By the sliding window method, the Tsallis information entropy parameter values of the local backscatter envelope signal in the window are estimated to obtain the matrix of information entropy parameter values, and then, to perform scan conversion and color mapping, and set the region of interest (ROI). The entropy image within the ROI is superimposed on the ultrasound B-mode image to realize the Tsallis information entropy imaging. Seventy-two liver donors and 204 patients are enrolled. The reference standards are the hepatic fat fraction (HFF) measured by magnetic resonance spectroscopy (MRS) and the grade of fatty liver determined by liver biopsy histology. The 3-MHz ultrasound scans the liver to construct B-mode and Tsallis information entropy images for HFF and fatty liver grade analyses. The receiver operating characteristic (ROC) curve is used to evaluate the diagnostic value of the Tsallis information entropy imaging method. The correlation coefficient between Tsallis information entropy and log₁₀ (HFF) is r = 0.67. The areas under the ROC curve are 0.82, 0.88 and 0.89, respectively for fatty grade ≥ mild, ≥ moderate, and ≥ severe. It is concluded that ultrasound backscatter Tsallis information entropy imaging can quantitatively evaluate the grade of fatty liver.