Deformable Meshes for Medical Image Segmentation

Accurate Automatic Segmentation of Anatomical Structures

  • Dagmar Kainmueller

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Dagmar Kainmueller
    Pages 1-13
  3. The Segmentation Framework

    1. Front Matter
      Pages 15-15
    2. Dagmar Kainmueller
      Pages 17-23
    3. Dagmar Kainmueller
      Pages 25-49
  4. Applications to Medical Image Data

    1. Front Matter
      Pages 79-79
    2. Dagmar Kainmueller
      Pages 81-87
    3. Dagmar Kainmueller
      Pages 89-115
    4. Dagmar Kainmueller
      Pages 117-129
    5. Dagmar Kainmueller
      Pages 131-145
  5. Back Matter
    Pages 161-180

About this book


Segmentation of anatomical structures in medical image data is an essential task in clinical practice. Dagmar Kainmueller introduces methods for accurate fully automatic segmentation of anatomical structures in 3D medical image data. The author’s core methodological contribution is a novel deformation model that overcomes limitations of state-of-the-art Deformable Surface approaches, hence allowing for accurate segmentation of tip- and ridge-shaped features of anatomical structures. As for practical contributions, she proposes application-specific segmentation pipelines for a range of anatomical structures, together with thorough evaluations of segmentation accuracy on clinical image data. As compared to related work, these fully automatic pipelines allow for highly accurate segmentation of benchmark image data.


  • Deformable Meshes for Accurate Automatic Segmentation
  • Omnidirectional Displacements for Deformable Surfaces (ODDS)
  • Coupled Deformable Surfaces for Multi-object Segmentation
  • From Surface Mesh Deformations to Volume Deformations
  • Segmentation of Anatomical Structures in Medical Image Data   

Target Groups

Academics and practitioners in the fields of computer science, medical imaging, and automatic segmentation.

 The Author

Dagmar Kainmueller works as a research scientist at the Max Planck Institute of Molecular Cell Biology and Genetics in Dresden, Germany, with a focus on bio image analysis.

 The Editor

The series Aktuelle Forschung Medizintechnik – Latest Research in Medical Engineering is edited by Thorsten M. Buzug.



Automatic segmentation Deformable surfaces Medical Image Data Segmentation of Medical Image Data Segmentation of anatomical structures in MID

Authors and affiliations

  • Dagmar Kainmueller
    • 1
  1. 1.MPI für Zellbiologie und GenetikDresdenGermany

Bibliographic information

  • DOI
  • Copyright Information Springer Fachmedien Wiesbaden 2015
  • Publisher Name Springer Vieweg, Wiesbaden
  • eBook Packages Medicine
  • Print ISBN 978-3-658-07014-4
  • Online ISBN 978-3-658-07015-1
  • Buy this book on publisher's site
Industry Sectors
Materials & Steel
IT & Software
Oil, Gas & Geosciences