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Keywords: Principal component analysis (PCA) Statistical appearance models Representation of high-dimensional data a b s t r a c t We propose a method called generalized N-dimensional principal component analysis (GND-PCA) for the modeling of a series of multi-dimensional data in this paper. In this method, the data are directly trained as the higher-order(More)
RATIONALE AND OBJECTIVES An atlas-based automated liver segmentation method from three-dimensional computed tomographic (3D CT) images has been developed. The method uses two types of atlases, a probabilistic atlas (PA) and a statistical shape model (SSM). MATERIALS AND METHODS Voxel-based segmentation with a PA is first performed to obtain a liver(More)