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Biomedical Image Processing pp 279–303Cite as

Model-Based Segmentation

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Part of the book series: Biological and Medical Physics, Biomedical Engineering ((BIOMEDICAL))

Summary

This chapter starts with a brief introduction into model-based segmentation, explaining the basic concepts and different approaches. Subsequently, two segmentation approaches are presented in more detail: First, the method of deformable simplex meshes is described, explaining the special properties of the simplex mesh and the formulation of the internal forces. Common choices for image forces are presented, and how to evolve the mesh to adapt to certain structures. Second, the method of point-based statistical shape models (SSMs) is described. The model construction process is explained and the point correspondence problem is treated in detail. Several approaches of how gray level appearance can be modeled are presented, and search algorithms that use this knowledge to segment the modeled structures in new images are described.

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Author information

Authors and Affiliations

  1. French Research Institute of Computer Science and Automatic Control, INRIA Sophia Antipolis Cedex, Sophia Antipolis Cedex, France

    Tobias Heimann

  2. German Cancer Research Center, Heidelberg, Germany

    Tobias Heimann

  3. Asclepios Team, INRIA, Sophia-Antipolis, France

    Hervé Delingette

Authors
  1. Tobias Heimann
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  2. Hervé Delingette
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Corresponding author

Correspondence to Tobias Heimann .

Editor information

Editors and Affiliations

  1. Inst. Medizinische Informatik, RWTH Aachen, Pauwelsstr. 30, Aachen, 52074, Germany

    Thomas Martin Deserno

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Heimann, T., Delingette, H. (2010). Model-Based Segmentation. In: Deserno, T. (eds) Biomedical Image Processing. Biological and Medical Physics, Biomedical Engineering. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15816-2_11

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  • DOI: https://doi.org/10.1007/978-3-642-15816-2_11

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15815-5

  • Online ISBN: 978-3-642-15816-2

  • eBook Packages: Physics and AstronomyPhysics and Astronomy (R0)

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