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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Format: | Article |
Language: | English |
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Wiley
2012-01-01
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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. |
format | Article |
id | doaj-art-6e4f125f09bd484d86103611c841ce96 |
institution | Kabale University |
issn | 2090-3448 2090-3456 |
language | English |
publishDate | 2012-01-01 |
publisher | Wiley |
record_format | Article |
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 |