Statistical Shape Models for 3D Medical Image Segmentation

The increasing importance of three-dimensional imaging in medicine leads to a growing demand for volumetric image analysis and automatic segmentation. Due to their robust performance, statistical shape models trained on a collection of example data are especially suited for that purpose. In this book, a three-step procedure for generating these models and employing them for 3D segmentation is presented. The first step is the identification of corresponding landmarks on the example data, req...