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Registration Methods for Pulmonary Image Analysis

Integration of Morphological and Physiological Knowledge

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  • © 2014

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  • Publication in the field of natural sciences?
  • Includes supplementary material: sn.pub/extras

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Table of contents (8 chapters)

Keywords

About this book

Various applications in the field of pulmonary image analysis require a registration of CT images of the lung. For example, a registration-based estimation of the breathing motion is employed to increase the accuracy of dose distribution in radiotherapy. Alexander Schmidt-Richberg develops methods to explicitly model morphological and physiological knowledge about respiration in algorithms for the registration of thoracic CT images. The author focusses on two lung-specific issues: on the one hand, the alignment of the interlobular fissures and on the other hand, the estimation of sliding motion at the lung boundaries. He shows that by explicitly considering these aspects based on a segmentation of the respective structure, registration accuracy can be significantly improved.

Authors and Affiliations

  • University of Lübeck, Lübeck, Germany

    Alexander Schmidt-Richberg

About the author

Alexander Schmidt-Richberg works as a research scientist with a focus on image registration and segmentation. He received his PhD at the Institute of Medical Informatics, University of Lübeck, Germany, in 2013. Currently, he is a member of the Biomedical Image Analysis Group, Imperial College London, UK.

Bibliographic Information

  • Book Title: Registration Methods for Pulmonary Image Analysis

  • Book Subtitle: Integration of Morphological and Physiological Knowledge

  • Authors: Alexander Schmidt-Richberg

  • Series Title: Aktuelle Forschung Medizintechnik – Latest Research in Medical Engineering

  • DOI: https://doi.org/10.1007/978-3-658-01662-3

  • Publisher: Springer Vieweg Wiesbaden

  • eBook Packages: Medicine, Medicine (R0)

  • Copyright Information: Springer Fachmedien Wiesbaden 2014

  • Softcover ISBN: 978-3-658-01661-6Published: 12 February 2014

  • eBook ISBN: 978-3-658-01662-3Published: 28 January 2014

  • Series ISSN: 2625-9354

  • Series E-ISSN: 2625-9362

  • Edition Number: 1

  • Number of Pages: XVI, 168

  • Number of Illustrations: 34 b/w illustrations, 14 illustrations in colour

  • Topics: Computer Science, general, Health Informatics

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