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Three-Dimensional Digital Tomosynthesis

Iterative Reconstruction, Artifact Reduction and Alternative Acquisition Geometry

  • Book
  • © 2014

Overview

Authors:
  1. Yulia Levakhina

    1. Institut für Medizintechnik, Universität zu Lübeck, Lübeck, Germany

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  • Publication in the field of technical sciences
  • Includes supplementary material: sn.pub/extras

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Table of contents (6 chapters)

  1. Front Matter

    Pages i-xviii
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  2. Introduction

    • Yulia Levakhina
    Pages 1-9

  3. Where we are today: Tomosynthesis research and development

    • Yulia Levakhina
    Pages 11-41

  4. Forward and backprojection model (FP/BP)

    • Yulia Levakhina
    Pages 43-74

  5. Iterative image reconstruction for tomosynthesis

    • Yulia Levakhina
    Pages 75-97

  6. Backprojected space in image reconstruction

    • Yulia Levakhina
    Pages 99-136

  7. Dual-axis tilt acquisition geometry for musculoskeletal tomosynthesis

    • Yulia Levakhina
    Pages 137-161

  8. Back Matter

    Pages 163-192
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Keywords

About this book

Yulia Levakhina gives an introduction to the major challenges of image reconstruction in Digital Tomosynthesis (DT), particularly to the connection of the reconstruction problem with the incompleteness of the DT dataset. The author discusses the factors which cause the formation of limited angle artifacts and proposes how to account for them in order to improve image quality and axial resolution of modern DT. The addressed methods include a weighted non-linear back projection scheme for algebraic reconstruction and novel dual-axis acquisition geometry. All discussed algorithms and methods are supplemented by detailed illustrations, hints for practical implementation, pseudo-code, simulation results and real patient case examples.

Authors and Affiliations

  • Institut für Medizintechnik, Universität zu Lübeck, Lübeck, Germany

    Yulia Levakhina

About the author

Yulia Levakhina earned her doctoral degree at the Institute of Medical Engineering, University of Luebeck, under the supervision of Prof. Thorsten M. Buzug. She works at a leading innovator company among CT manufacturers, where she is responsible for the research and development of image reconstruction algorithms for high-performance and precise CT scanners.

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