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International Conference on Medical Image Computing and Computer-Assisted Intervention

MICCAI 2012: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012 pp 74–81Cite as

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Lung Registration with Improved Fissure Alignment by Integration of Pulmonary Lobe Segmentation

Lung Registration with Improved Fissure Alignment by Integration of Pulmonary Lobe Segmentation

  • Alexander Schmidt-Richberg19,
  • Jan Ehrhardt19,
  • René Werner19 &
  • …
  • Heinz Handels19 
  • Conference paper
  • 4076 Accesses

  • 3 Citations

Part of the Lecture Notes in Computer Science book series (LNIP,volume 7511)

Abstract

Accurate registration of human lungs in CT images is required for many applications in pulmonary image analysis and used for example for atlas generation. While various registration approaches have been developed in the past, the correct alignment of the interlobular fissures is still challenging for many reasons, especially for inter-patient registration. Fissures are depicted with very low contrast and their proximity in the image shows little detail due to the lack of vessels. Moreover, iterative registration algorithms usually require the objects to be overlapping in both images to find the right transformation, which is often not the case for fissures.

In this work, a novel approach is presented for integrated lobe segmentation and intensity-based registration aiming for a better alignment of the interlobular fissures. To this end, level sets with a shape-based fissure attraction term are used to formulate a new condition in the registration framework. The method is tested for pairwise registration of lung CT scans of nine different subjects and the results show a significantly improved matching of the pulmonary lobes after registration.

Keywords

  • Reference Image
  • Template Image
  • Pulmonary Lobe
  • Registration Approach
  • Standard Registration

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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Author information

Authors and Affiliations

  1. Institute of Medical Informatics, University of Lübeck, Lübeck, Germany

    Alexander Schmidt-Richberg, Jan Ehrhardt, René Werner & Heinz Handels

Authors
  1. Alexander Schmidt-Richberg
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  2. Jan Ehrhardt
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  3. René Werner
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  4. Heinz Handels
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Editor information

Editors and Affiliations

  1. Project Team Asclepios, Inria Sophia Antipolis, 06902, Sophia-Antipolis, France

    Nicholas Ayache & Hervé Delingette & 

  2. MIT, CSAIL, 02139, Cambridge, MA, USA

    Polina Golland

  3. Information and Communication Headquarters, Nagoya University, 464-8603, Nagoya, Japan

    Kensaku Mori

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© 2012 Springer-Verlag Berlin Heidelberg

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Cite this paper

Schmidt-Richberg, A., Ehrhardt, J., Werner, R., Handels, H. (2012). Lung Registration with Improved Fissure Alignment by Integration of Pulmonary Lobe Segmentation. In: Ayache, N., Delingette, H., Golland, P., Mori, K. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012. MICCAI 2012. Lecture Notes in Computer Science, vol 7511. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33418-4_10

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  • DOI: https://doi.org/10.1007/978-3-642-33418-4_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33417-7

  • Online ISBN: 978-3-642-33418-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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