Registration Methods for Pulmonary Image Analysis

Integration of Morphological and Physiological Knowledge

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Description

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.
Pages
168 pages
Collection
Aktuelle Forschung Medizintechnik – Latest Research in Medical Engineering
Parution
2014-01-28
Marque
Springer Vieweg
EAN papier
9783658016616
EAN PDF
9783658016623

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
16
Taille du fichier
3369 Ko
Prix
52,74 €