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- DescriptionVarious 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 kwledge 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.
- Author BiographyAlexander 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 Lubeck, Germany, in 2013. Currently, he is a member of the Biomedical Image Analysis Group, Imperial College London, UK.
- Author(s)Alexander Schmidt-Richberg
- PublisherSpringer-Verlag Berlin and Heidelberg GmbH & Co. KG
- Date of Publication29/01/2014
- SubjectMedicine: General
- Series TitleAktuelle Forschung Medizintechnik - Latest Research in Medical Engineering
- Series Part/Volume Number3
- Country of PublicationGermany
- ImprintSpringer Gabler
- Content Note34 black & white illustrations, 14 colour illustrations, 7 black & white tables, biography
- Weight253 g
- Width148 mm
- Height210 mm
- Spine10 mm
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