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Intensity-Based Registration for Lung Motion Estimation

  • Kunlin CaoEmail author
  • Kai Ding
  • Ryan E. Amelon
  • Kaifang Du
  • Joseph M. Reinhardt
  • Madhavan L. Raghavan
  • Gary E. Christensen
Chapter
Part of the Biological and Medical Physics, Biomedical Engineering book series (BIOMEDICAL)

Abstract

Image registration plays an important role within pulmonary image analysis. The task of registration is to find the spatial mapping that brings two images into alignment. Registration algorithms designed for matching 4D lung scans or two 3D scans acquired at different inflation levels can catch the temporal changes in position and shape of the region of interest. Accurate registration is critical to post-analysis of lung mechanics and motion estimation. In this chapter, we discuss lung-specific adaptations of intensity-based registration methods for 3D/4D lung images and review approaches for assessing registration accuracy. Then we introduce methods for estimating tissue motion and studying lung mechanics. Finally, we discuss methods for assessing and quantifying specific volume change, specific ventilation, strain/ stretch information and lobar sliding.

Keywords

Image Registration Registration Method Registration Algorithm Registration Accuracy Maximal Principal Strain 
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.

Notes

Open Access

This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.

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© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Kunlin Cao
    • 1
    Email author
  • Kai Ding
    • 2
  • Ryan E. Amelon
    • 2
  • Kaifang Du
    • 2
  • Joseph M. Reinhardt
    • 2
  • Madhavan L. Raghavan
    • 2
  • Gary E. Christensen
    • 3
  1. 1.Biomedical Image Analysis LaboratoryGE Global Research CenterNiskayunaUSA
  2. 2.Department of Biomedical EngineeringThe University of IowaIowa CityUSA
  3. 3.Department of Electrical and ComputerThe University of IowaIowa CityUSA

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