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Three-Dimensional Digital Tomosynthesis: Iterative Reconstruction, Artifact Reduction and Alternative Acquisition Geometry: Aktuelle Forschung Medizintechnik – Latest Research in Medical Engineering

Autor Yulia Levakhina
en Limba Engleză Paperback – 6 mai 2014
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.
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Specificații

ISBN-13: 9783658056964
ISBN-10: 3658056967
Pagini: 210
Ilustrații: XVIII, 192 p. 71 illus., 6 illus. in color.
Dimensiuni: 148 x 210 x 15 mm
Greutate: 0.26 kg
Ediția:2014
Editura: Springer Fachmedien Wiesbaden
Colecția Springer Vieweg
Seria Aktuelle Forschung Medizintechnik – Latest Research in Medical Engineering

Locul publicării:Wiesbaden, Germany

Public țintă

Research

Cuprins

Forward and Backprojection Model.- Iterative Image Reconstruction for Tomosynthesis.- Backprojected Space in Image Reconstruction.- Dual-Axis Tilt Acquisition Geometry.

Notă biografică

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.

Textul de pe ultima copertă

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

Caracteristici

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