Abstract
The generation of standard brain image is one of the most important subjects in brain image analysis. In this paper, we have developed a method that generates a standard brain image of transversal sectional view from a dataset of MRI (magnetic resonance imaging) brain images. First, every pair of 2 MR images in the dataset is registered by using a genetic algorithm, and the shape difference between 2 images is parameterized in this process to select the most representative standard image. Next, we generate a standard brain image by taking an average among the images that are registered to the representative standard image. It is expected that the 3D standard brain image would be also obtained similarly by extending this method.
