Analysis and Algorithmic Generation of Hepatic Vascular Systems

A proper geometric model of the vascular systems in the liver is crucial for modeling blood flow, the connection between the organ and the rest of the organism. In vivo imaging does not provide sufficient details, so an algorithmic concept for extending measured vascular tree data is needed such tha...

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Main Authors: Lars Ole Schwen, Tobias Preusser
Format: Article
Language:English
Published: Wiley 2012-01-01
Series:International Journal of Hepatology
Online Access:http://dx.doi.org/10.1155/2012/357687
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author Lars Ole Schwen
Tobias Preusser
author_facet Lars Ole Schwen
Tobias Preusser
author_sort Lars Ole Schwen
collection DOAJ
description A proper geometric model of the vascular systems in the liver is crucial for modeling blood flow, the connection between the organ and the rest of the organism. In vivo imaging does not provide sufficient details, so an algorithmic concept for extending measured vascular tree data is needed such that geometrically realistic structures can be generated. We develop a quantification of similarity in terms of different geometric features. This involves topological Strahler ordering of the vascular trees, statistical testing, and averaging. Invariant features are identified in human clinical in vivo CT scans. Results of the existing “Constrained Constructive Optimization” algorithm are compared to real vascular tree data. To improve bifurcation angles in the algorithmic results, we implement a postprocessing step calibrated to the measured features. This framework is finally applied to generate realistic additional details in a patient-specific hepatic vascular tree data set.
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institution Kabale University
issn 2090-3448
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publishDate 2012-01-01
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series International Journal of Hepatology
spelling doaj-art-6e4f125f09bd484d86103611c841ce962025-02-03T01:25:54ZengWileyInternational Journal of Hepatology2090-34482090-34562012-01-01201210.1155/2012/357687357687Analysis and Algorithmic Generation of Hepatic Vascular SystemsLars Ole Schwen0Tobias Preusser1Fraunhofer Institute for Medical Image Computing MEVIS, Universitätsallee 29, 28359 Bremen, GermanyFraunhofer Institute for Medical Image Computing MEVIS, Universitätsallee 29, 28359 Bremen, GermanyA proper geometric model of the vascular systems in the liver is crucial for modeling blood flow, the connection between the organ and the rest of the organism. In vivo imaging does not provide sufficient details, so an algorithmic concept for extending measured vascular tree data is needed such that geometrically realistic structures can be generated. We develop a quantification of similarity in terms of different geometric features. This involves topological Strahler ordering of the vascular trees, statistical testing, and averaging. Invariant features are identified in human clinical in vivo CT scans. Results of the existing “Constrained Constructive Optimization” algorithm are compared to real vascular tree data. To improve bifurcation angles in the algorithmic results, we implement a postprocessing step calibrated to the measured features. This framework is finally applied to generate realistic additional details in a patient-specific hepatic vascular tree data set.http://dx.doi.org/10.1155/2012/357687
spellingShingle Lars Ole Schwen
Tobias Preusser
Analysis and Algorithmic Generation of Hepatic Vascular Systems
International Journal of Hepatology
title Analysis and Algorithmic Generation of Hepatic Vascular Systems
title_full Analysis and Algorithmic Generation of Hepatic Vascular Systems
title_fullStr Analysis and Algorithmic Generation of Hepatic Vascular Systems
title_full_unstemmed Analysis and Algorithmic Generation of Hepatic Vascular Systems
title_short Analysis and Algorithmic Generation of Hepatic Vascular Systems
title_sort analysis and algorithmic generation of hepatic vascular systems
url http://dx.doi.org/10.1155/2012/357687
work_keys_str_mv AT larsoleschwen analysisandalgorithmicgenerationofhepaticvascularsystems
AT tobiaspreusser analysisandalgorithmicgenerationofhepaticvascularsystems