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Registration methods for pulmonary image analysis : integration of morphological and physiological knowledge

http://libcat.nshealth.ca/permalink/provcat33807
Alexander Schmidt-Richberg. Springer Vieweg , c2014.
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Various applications in the field of pulmonary image analysis require a registration of CT images of the lung. For example, a registration-based estimation of the breathing motion is employed to increase the accuracy of dose distribution in radiotherapy. Alexander Schmidt-Richberg develops methods to explicitly model morphological and physiological knowledge about respiration in algorithms for the registration of thoracic CT images. The author focusses on two lung-specific issues: on the one ha…
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Author
Schmidt-Richberg, Alexander
Responsibility
Alexander Schmidt-Richberg
Place of Publication
Wiesbaden
Publisher
Springer Vieweg
Date Published
c2014
Physical Description
1 online resource (xvi, 168 pages)
Series Title
Aktuelle Forschung Medizintechnik = Latest Research in Medical Engineering
ISBN
9783658016616
9783658016623 (electronic bk.)
Subjects (MeSH)
Four-Dimensional Computed Tomography - methods
Image Interpretation, Computer-Assisted
Lung - diagnostic imaging
Models, Theoretical
Radiography - methods
Subjects (LCSH)
Image analysis - Mathematical models
Image registration
Lungs - Tomography
Abstract
Various applications in the field of pulmonary image analysis require a registration of CT images of the lung. For example, a registration-based estimation of the breathing motion is employed to increase the accuracy of dose distribution in radiotherapy. Alexander Schmidt-Richberg develops methods to explicitly model morphological and physiological knowledge about respiration in algorithms for the registration of thoracic CT images. The author focusses on two lung-specific issues: on the one hand, the alignment of the interlobular fissures and on the other hand, the estimation of sliding motion at the lung boundaries. He shows that by explicitly considering these aspects based on a segmentation of the respective structure, registration accuracy can be significantly improved.
Contents
1. Introduction -- 2. Current methods for lung registration -- 3. Variational image registration -- 4. Variational level set segmentation -- 5. Lung registration with explicit interlobular fissure alignment -- 6. Sliding motion in image registration -- 7. Evaluation with clinical image data -- 8. Conclusions -- A. On digital images -- B. Mathematical derivations -- C. Supplementary results -- List of notations.
Format
e-Book
Location
Online
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Three-dimensional digital tomosynthesis : iterative reconstruction, artifact reduction and alternative acquisition geometry

http://libcat.nshealth.ca/permalink/provcat34007
Yulia Levakhina. Springer Vieweg , c2014.
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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 algebrai…
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Author
Levakhina, Yulia
Responsibility
Yulia Levakhina
Place of Publication
Wiesbaden
Publisher
Springer Vieweg
Date Published
c2014
Physical Description
1 online resource (xviii, 192 pages)
Series Vol.
14
Series Title
Aktuelle Forschung Medizintechnik = Latest Research in Medical Engineering
ISBN
9783658056964
9783658056971 (electronic bk.)
Subjects (MeSH)
Image Processing, Computer-Assisted
Imaging, three-dimensional - methods
Radiographic Image Enhancement
Tomography, X-Ray Computed
Subjects (LCSH)
Three-dimensional imaging
Tomography
Abstract
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
Introduction -- Where we are today: tomosynthesis research and development -- Forward and backprojection model (FP/BP) -- Iterative image reconstruction for tomosynthesis -- Backprojected space in image reconstruction -- Dual-axis tilt acquisition geometry -- Conclusions and suggestions for further work -- Appendix: MATLAB®.
Format
e-Book
Location
Online
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