Heike Hufnagel develops a mathematically sound statistical shape model. Due to the particular attributes of the model, the challenging integration of explicit and implicit representations can be performed in an elegant mathematical formulation, thus combining the advantages of both explicit model and implicit segmentation method.

Heike Hufnagel works as a research scientist at the Institute of Medical Informatics, University of Luebeck, Germany. She holds a PhD in natural sciences.

Introduction.- Current Methods in Statistical Shape Analysis.- A Generative Gaussian Mixture Statistical Shape Model.- Evaluation of the GGM SSM.- Using the GGM SSM as a Prior for Segmentation.