Registration Methods for Pulmonary Image Analysis
Alexander Schmidt-Richberg
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Description for Registration Methods for Pulmonary Image Analysis
Paperback. Series: Aktuelle Forschung Medizintechnik - Latest Research in Medical Engineering. Num Pages: 184 pages, 34 black & white illustrations, 14 colour illustrations, 7 black & white tables, biograph. BIC Classification: MBG; UY. Category: (P) Professional & Vocational. Dimension: 210 x 148 x 10. Weight in Grams: 253.
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 ... Read more
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Format
Paperback
Publication date
2014
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
184
Condition
New
Series
Aktuelle Forschung Medizintechnik - Latest Research in Medical Engineering
Number of Pages
168
Place of Publication
Weisbaden, Germany
ISBN
9783658016616
SKU
V9783658016616
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About 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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