Recognition of 3-dimensional medical images of the head by radial basis function (RBF) neural network

Abstract

In this study, we applied the radial basis function (RBF) neural network to recognition of 3-dimensional medical images of the head. This neural network has the three layered architecture that is constructed with the input layer, the hidden layer and the output layer. The regions of the brain, the skull and the blood vessel, were recognized and extracted by the RBF neural networks. These image processing were carried out for all slices of multi-detector row computed tomography (MDCT) images and 3-dimensional images of the brain, the skull and the blood vessel regions of the head were displayed with volume rendering software. It is shown that the RBF neural network is useful for the 3-dimensional medical image recognition of the many kinds of organs such as the brain, the skill and the blood vessels.