Statistical shape models for 3D medical image segmentation: A review

  title={Statistical shape models for 3D medical image segmentation: A review},
  author={Tobias Heimann and Hans-Peter Meinzer},
  journal={Medical image analysis},
  volume={13 4},
Statistical shape models (SSMs) have by now been firmly established as a robust tool for segmentation of medical images. While 2D models have been in use since the early 1990 s, wide-spread utilization of three-dimensional models appeared only in recent years, primarily made possible by breakthroughs in automatic detection of shape correspondences. In this article, we review the techniques required to create and employ these 3D SSMs. While we concentrate on landmark-based shape representations… CONTINUE READING
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