Abstract
To aid radiologists for their decision of liver diseases in magnetic resonance (MR) imaging, a method based on artificial neural network (ANN) is proposed. The input units correspond to the homogeneity and the intensities within region of interests selected from four MR images. In order to quantify the degree of liver cirrhosis, liver region is extracted from MR or computed tomographic (CT) images and divided into left and right parts. The ratio of volume in each part may differentiate a normal liver from cirrhosis. The result shows that our ANN-based program may provide radiologists with educational use or referential opinion during their practical diagnostic procedure.
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