A framework for the merging of pre-existing and correspondenceless 3D statistical shape models

@article{Pereaez2014AFF,
  title={A framework for the merging of pre-existing and correspondenceless 3D statistical shape models},
  author={Marco Perea{\~n}ez and Karim Lekadir and Constantine Butakoff and Corn{\'e} Hoogendoorn and Alejandro F. Frangi},
  journal={Medical image analysis},
  year={2014},
  volume={18 7},
  pages={1044-58}
}
The construction of statistical shape models (SSMs) that are rich, i.e., that represent well the natural and complex variability of anatomical structures, is an important research topic in medical imaging. To this end, existing works have addressed the limited availability of training data by decomposing the shape variability hierarchically or by combining… CONTINUE READING