In recent years the orientation score framework was developed at the BioMedical Image Analysis (BMIA) research group at Eindhoven University of Technology. This framework facilitates the processing of images with crossing lines. Basis of this framework is the transformation of an image to a space with higher dimensionality. In this space the added dimensions represent the local orientation. This results for a 2D image in a 3D orientation space; for every pixel an orientation distribution is calculated along the third axis. The fibrous collagen network in tissue is very determining for its mechanical properties. In tissue engineering it turns out that resembling the mechanical properties of native tissue is very difficult. Thereby it is still not entirely clear how the mechanical properties in living tissue depend on the collagen network. And also the influence of mechanical load on the collagen network is not yet fully understood. The quantification of the collagen network can give more insight in these issues, it is shown here that the OS framework is a very useful tool for this. Written in Mathematica 6.0.
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Jasper Levink got his MSc grade in Biomedical Engineering at the Eindhoven University of Technology in 2009. The contents of this book were part of his graduation project, which was supervised by ir. Frans Kanters, PhD, and ir. Bart ter Haar Romeny, PhD. Currently Jasper Levink is working as a product developer at Royal Philips Electronics.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In recent years the orientation score framework was developed at the BioMedical Image Analysis (BMIA) research group at Eindhoven University of Technology. This framework facilitates the processing of images with crossing lines. Basis of this framework is the transformation of an image to a space with higher dimensionality. In this space the added dimensions represent the local orientation. This results for a 2D image in a 3D orientation space; for every pixel an orientation distribution is calculated along the third axis. The fibrous collagen network in tissue is very determining for its mechanical properties. In tissue engineering it turns out that resembling the mechanical properties of native tissue is very difficult. Thereby it is still not entirely clear how the mechanical properties in living tissue depend on the collagen network. And also the influence of mechanical load on the collagen network is not yet fully understood. The quantification of the collagen network can give more insight in these issues, it is shown here that the OS framework is a very useful tool for this. Written in Mathematica 6.0. 116 pp. Englisch. Seller Inventory # 9783843352086
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Levink M.Sc. JasperJasper Levink got his MSc grade in Biomedical Engineering at the Eindhoven University of Technology in 2009. The contents of this book were part of his graduation project, which was supervised by ir. Frans Kante. Seller Inventory # 5465220
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In recent years the orientation score framework was developed at the BioMedical Image Analysis (BMIA) research group at Eindhoven University of Technology. This framework facilitates the processing of images with crossing lines. Basis of this framework is the transformation of an image to a space with higher dimensionality. In this space the added dimensions represent the local orientation. This results for a 2D image in a 3D orientation space; for every pixel an orientation distribution is calculated along the third axis. The fibrous collagen network in tissue is very determining for its mechanical properties. In tissue engineering it turns out that resembling the mechanical properties of native tissue is very difficult. Thereby it is still not entirely clear how the mechanical properties in living tissue depend on the collagen network. And also the influence of mechanical load on the collagen network is not yet fully understood. The quantification of the collagen network can give more insight in these issues, it is shown here that the OS framework is a very useful tool for this. Written in Mathematica 6.0.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 116 pp. Englisch. Seller Inventory # 9783843352086
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In recent years the orientation score framework was developed at the BioMedical Image Analysis (BMIA) research group at Eindhoven University of Technology. This framework facilitates the processing of images with crossing lines. Basis of this framework is the transformation of an image to a space with higher dimensionality. In this space the added dimensions represent the local orientation. This results for a 2D image in a 3D orientation space; for every pixel an orientation distribution is calculated along the third axis. The fibrous collagen network in tissue is very determining for its mechanical properties. In tissue engineering it turns out that resembling the mechanical properties of native tissue is very difficult. Thereby it is still not entirely clear how the mechanical properties in living tissue depend on the collagen network. And also the influence of mechanical load on the collagen network is not yet fully understood. The quantification of the collagen network can give more insight in these issues, it is shown here that the OS framework is a very useful tool for this. Written in Mathematica 6.0. Seller Inventory # 9783843352086
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Taschenbuch. Condition: Neu. Taking the orientation score framework one step further | From theory to applications in biomedical engineering. Written in Mathematica 6.0. | Jasper Levink M. Sc. | Taschenbuch | 116 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783843352086 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 107285876
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