Abstract
Statistical shape models (SSM) describe the shape variability contained in a given population. They are able to describe large populations of complex shapes with few degrees of freedom. This makes them a useful tool for a variety of tasks that arise in computer-aided medicine. In this chapter we are going to explain the basic methodology of SSMs and present a variety of examples, where SSMs have been successfully applied.
Type
Publication
Zheng G., Li S. (eds) Computational Radiology for Orthopaedic Interventions. Lecture Notes in Computational Vision and Biomechanics, vol 23. Springer, Cham (2015)
Hans Lamecker
Managing Director
Advancing 3D analysis, planning, design and manufacturing using innovative computational methods and tools