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Motion Correction in Thoracic Positron Emission Tomography

  • Fabian Gigengack
  • Xiaoyi Jiang
  • Mohammad Dawood
  • Klaus P. Schäfers

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

Table of contents

  1. Front Matter
    Pages i-xi
  2. Fabian Gigengack, Xiaoyi Jiang, Mohammad Dawood, Klaus P. Schäfers
    Pages 1-19
  3. Fabian Gigengack, Xiaoyi Jiang, Mohammad Dawood, Klaus P. Schäfers
    Pages 21-63
  4. Fabian Gigengack, Xiaoyi Jiang, Mohammad Dawood, Klaus P. Schäfers
    Pages 65-74
  5. Fabian Gigengack, Xiaoyi Jiang, Mohammad Dawood, Klaus P. Schäfers
    Pages 75-80
  6. Back Matter
    Pages 81-88

About this book

Introduction

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.

Keywords

Computed tomography (CT) PET-CT dual gating hyperelastic regularization image registration mass-preservation motion correction optical flow positron emission tomography (PET) spline transformation

Authors and affiliations

  • Fabian Gigengack
    • 1
  • Xiaoyi Jiang
    • 2
  • Mohammad Dawood
    • 3
  • Klaus P. Schäfers
    • 4
  1. 1.Department of Mathematics and Computer ScienceUniversity of MünsterMünsterGermany
  2. 2.Department of Mathematics and Computer ScienceUniversity of MünsterMünsterGermany
  3. 3.European Institute for Molecular ImagingUniversity of MünsterMünsterGermany
  4. 4.European Institute for Molecular ImagingUniversity of MünsterMünsterGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-08392-6
  • Copyright Information The Author(s) 2015
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-08391-9
  • Online ISBN 978-3-319-08392-6
  • Series Print ISSN 2191-8112
  • Series Online ISSN 2191-8120
  • Buy this book on publisher's site
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