Three-Dimensional Digital Tomosynthesis / Aktuelle Forschung Medizintechnik - Latest Research in Medical Engineering (PDF)

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 backprojection scheme for algebraic reconstruction and a 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.

 Contents

Forward and Backprojection Model

Iterative Image Reconstruction for Tomosynthesis

Backprojected Space in Image Reconstruction

Dual-Axis Tilt Acquisition Geometry

 Target Groups

Academics and practitioners in the fields of computer science, X-ray imaging, computed tomography, tomosynthesis, iterative image reconstruction and medical imaging; radiologists and physicians.

 The Author

Yulia Levakhina earned her doctoral degree at the Institute of Medical Engineering, University of Lübeck, 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 CTscanners.

 The Editor

The series Aktuelle Forschung Medizintechnik is edited by Thorsten M. Buzug.