Using parts and geometry models to initialise Active Appearance Models for automated segmentation of 3D medical images

@article{Babalola2010UsingPA,
  title={Using parts and geometry models to initialise Active Appearance Models for automated segmentation of 3D medical images},
  author={Kolawole O. Babalola and Timothy F. Cootes},
  journal={2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro},
  year={2010},
  pages={1069-1072}
}
In recent years, statistical shape models, of which Active Appearance Models (AAMs) are a subset have been increasingly applied to the automatic segmentation of medical images. AAMs are a local search technique requiring good initialisation. In 3D automatic initialisation can be achieved by multiple initialisations, registration, template matching or by application dependent heuristics. The first three can be sub-optimal in certain situations, whilst the last is not generic.