  This study proposes an automatic technique for liver segmentation in computed
tomography (CT) images. Localization of the liver volume is based on the
correlation with an optimized set of liver templates developed by the authors
that allows clear geometric interpretation. Radiodensity values are calculated
based on the boundaries of the segmented liver, which allows identifying liver
abnormalities. The performance of the technique was evaluated on 700 CT images
from dataset of the Unified Radiological Information System (URIS) of Moscow.
Despite the decrease in accuracy, the technique is applicable to CT volumes
with a partially visible region of the liver. The technique can be used to
process CT images obtained in various patient positions in a wide range of
exposition parameters. It is capable in dealing with low dose CT scans in real
large-scale medical database with over 1 million of studies.
