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Motion Correction in Thoracic Positron Emission Tomography

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  • © 2015

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Authors:
  1. Fabian Gigengack

    1. Department of Mathematics and Computer Science, University of Münster, Münster, Germany

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  2. Xiaoyi Jiang

    1. Department of Mathematics and Computer Science, University of Münster, Münster, Germany

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  3. Mohammad Dawood

    1. European Institute for Molecular Imaging, University of Münster, Münster, Germany

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  4. Klaus P. Schäfers

    1. European Institute for Molecular Imaging, University of Münster, Münster, Germany

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Part of the book series: SpringerBriefs in Electrical and Computer Engineering (BRIEFSELECTRIC)

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Table of contents (4 chapters)

  1. Front Matter

    Pages i-xi
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  2. Introduction

    • Fabian Gigengack, Xiaoyi Jiang, Mohammad Dawood, Klaus P. Schäfers
    Pages 1-19

  3. Motion Estimation

    • Fabian Gigengack, Xiaoyi Jiang, Mohammad Dawood, Klaus P. Schäfers
    Pages 21-63

  4. Motion Correction

    • Fabian Gigengack, Xiaoyi Jiang, Mohammad Dawood, Klaus P. Schäfers
    Pages 65-74

  5. Further Developments in PET Motion Correction

    • Fabian Gigengack, Xiaoyi Jiang, Mohammad Dawood, Klaus P. Schäfers
    Pages 75-80

  6. Back Matter

    Pages 81-88
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Keywords

About this book

Respiratory and cardiac motion leads to image degradation in Positron Emission Tomography (PET), which impairs quantification. In this book, the authors present approaches to motion estimation and motion correction in thoracic PET. The approaches for motion estimation are based on dual gating and mass-preserving image registration (VAMPIRE) and mass-preserving optical flow (MPOF). With mass-preservation, image intensity modulations caused by highly non-rigid cardiac motion are accounted for. Within the image registration framework different data terms, different variants of regularization and parametric and non-parametric motion models are examined. Within the optical flow framework, different data terms and further non-quadratic penalization are also discussed. The approaches for motion correction particularly focus on pipelines in dual gated PET. A quantitative evaluation of the proposed approaches is performed on software phantom data with accompanied ground-truth motion information. Further, clinical applicability is shown on patient data. The book concludes with an outlook of recent developments and potential future advances in the field of PET motion correction.

Authors and Affiliations

  • Department of Mathematics and Computer Science, University of Münster, Münster, Germany

    Fabian Gigengack, Xiaoyi Jiang

  • European Institute for Molecular Imaging, University of Münster, Münster, Germany

    Mohammad Dawood, Klaus P. Schäfers

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