Please note: In order to keep Hive up to date and provide users with the best features, we are no longer able to fully support Internet Explorer. The site is still available to you, however some sections of the site may appear broken. We would encourage you to move to a more modern browser like Firefox, Edge or Chrome in order to experience the site fully.

Registration Methods for Pulmonary Image Analysis : Integration of Morphological and Physiological Knowledge, PDF eBook

Registration Methods for Pulmonary Image Analysis : Integration of Morphological and Physiological Knowledge PDF

Part of the Aktuelle Forschung Medizintechnik - Latest Research in Medical Engineering series

PDF

Please note: eBooks can only be purchased with a UK issued credit card and all our eBooks (ePub and PDF) are DRM protected.

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.

Information

Other Formats

Information

Also in the Aktuelle Forschung Medizintechnik - Latest Research in Medical Engineering series  |  View all