Registration Methods for Pulmonary Image Analysis

Integration of Morphological and Physiological Knowledge

  • Alexander Schmidt-Richberg

Part of the Aktuelle Forschung Medizintechnik book series (MEDTEC)

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Alexander Schmidt-Richberg
    Pages 1-7
  3. Alexander Schmidt-Richberg
    Pages 9-16
  4. Alexander Schmidt-Richberg
    Pages 17-38
  5. Alexander Schmidt-Richberg
    Pages 39-49
  6. Alexander Schmidt-Richberg
    Pages 65-78
  7. Alexander Schmidt-Richberg
    Pages 79-123
  8. Alexander Schmidt-Richberg
    Pages 125-130
  9. Back Matter
    Pages 131-168

About this book

Introduction

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.

 

Contents

·         Registration

·         Segmentation

·         Level Set Segmentation

·         Motion Estimation

·         Sliding Motion

·         Integrated Registration and Segmentation

 

Target Groups

·         Researchers and students of medical informatics, medical imaging

·         Radiologists, physicians

 

 

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.

 

Editors

The series Aktuelle Forschung Medizintechnik is edited by Thorsten Buzug.

Keywords

Image Fusion Medical Imaging Motion Estimation Pulmonary Image Analysis Registration Segmentation

Authors and affiliations

  • Alexander Schmidt-Richberg
    • 1
  1. 1.University of LübeckLübeckGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-658-01662-3
  • Copyright Information Springer Fachmedien Wiesbaden 2014
  • Publisher Name Springer Vieweg, Wiesbaden
  • eBook Packages Medicine
  • Print ISBN 978-3-658-01661-6
  • Online ISBN 978-3-658-01662-3
  • About this book
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