Abstract
Digital atlases of the human anatomy are a new and hot topic in medical image analysis. The basic idea of the digital atlas is to capture the variability of an organ’s location, shape, and voxel intensity (texture) from a training set. In this chapter, the authors present current progress toward constructing digital atlases of the liver and their applications to liver segmentation and diagnosis of hepatic disease. They also introduce a new mathematic framework (generalized N-dimensional principal component analysis) based on multi-linear algebra for medical volume analysis.
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