Téléchargez le livre : Registration Methods for Pulmonary Image Analysis

Registration Methods for Pulmonary Image Analysis

Integration of Morphological and Physiological Knowledge

Éditeur :

Springer Vieweg

Paru le : 2014-01-28

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 t...
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Description du livre


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.

À propos

Auteur
Alexander Schmidt-Richberg
Éditeur
Springer Vieweg
Collection
n.c
Parution
2014-01-28
Pages
168 pages
EAN papier
9783658016616

Auteur(s) du livre


Defaut-Illustration Alexander Schmidt-Richberg
Alexander Schmidt-Richberg works as a research scientist with a focus on image registration and segmentation. He received his PhD at the Institute of Medical Informatics, University of Lübeck, Germany, in 2013. Currently, he is a member of the Biomedical Image Analysis Group, Imperial College London, UK.

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EAN PDF
9783658016623
Prix
52,74 €
Nombre pages copiables
1
Nombre pages imprimables
16
Taille du fichier
3369 Ko
Ce livre est accessible aux handicaps informations d'accessibilité

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