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Intensity-Based Registration for Lung Motion Estimation

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4D Modeling and Estimation of Respiratory Motion for Radiation Therapy

Part of the book series: Biological and Medical Physics, Biomedical Engineering ((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.

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Notes

  1. 1.

    However, we need to mention that this is not fully true due to the increased blood volume through inhalation [43].

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  1. Biomedical Image Analysis Laboratory, GE Global Research Center, Niskayuna, NY, USA

    Kunlin Cao

  2. Department of Biomedical Engineering, The University of Iowa, Iowa City, IA, USA

    Kai Ding, Ryan E. Amelon, Kaifang Du, Joseph M. Reinhardt & Madhavan L. Raghavan

  3. Department of Electrical and Computer, The University of Iowa, Iowa City, IA, USA

    Gary E. Christensen

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  1. , Institut für Medizinische Informatik, Universität Lübeck, Ratzeburger Allee 160, Lübeck, 23538, Germany

    Jan Ehrhardt

  2. Forschungslaboratorien, Digital Imaging 24, Philips Technologie GmbH, Röntgenstraße 24 - 26, Hamburg, 22335, Germany

    Cristian Lorenz

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Cao, K. et al. (2013). Intensity-Based Registration for Lung Motion Estimation. In: Ehrhardt, J., Lorenz, C. (eds) 4D Modeling and Estimation of Respiratory Motion for Radiation Therapy. Biological and Medical Physics, Biomedical Engineering. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36441-9_7

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  • DOI: https://doi.org/10.1007/978-3-642-36441-9_7

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-36440-2

  • Online ISBN: 978-3-642-36441-9

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