1. A computer-implemented method for detecting a fatty liver from CT imaging data, comprising: receiving imaging data of a computed tomography (CT) scan of a body of a patient including at least a portion of a liver, the CT scan performed using a single source CT Scanner with settings selected for imaging of non-fatty-liver pathology; segmenting at least a region of the portion of the liver from the imaging data by creating a binary image by applying binary segmentation to a sub-set of pixels of the imaging data according to a first set-of-rules, wherein the binary image includes the region of the portion of the liver, and mapping the region of the portion of the liver of the binary image to the segmented region of the portion of the liver of the imaging data; calculating at least one liver parameter for the segmented region of the liver from Hounsfield unit (HU) value(s); detecting the presence of a fatty liver by analyzing the calculated at least one liver parameter according to a second set-of-rules; and outputting an indication of the presence of the fatty liver.