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Semi-automatic measurements and description of the geometry of vascular tree based on Bézier spline curves: application to cerebral arteries
BACKGROUND: The geometry of the vessels is easy to assess in novel 3D studies. It has significant influence on flow patterns and this way the evolution of vascular pathologies such as aneurysms and atherosclerosis. It is essential to develop robust system for vascular anatomy measurement and digital...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6114498/ https://www.ncbi.nlm.nih.gov/pubmed/30157865 http://dx.doi.org/10.1186/s12938-018-0547-8 |
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author | Żyłkowski, Jarosław Rosiak, Grzegorz Spinczyk, Dominik |
author_facet | Żyłkowski, Jarosław Rosiak, Grzegorz Spinczyk, Dominik |
author_sort | Żyłkowski, Jarosław |
collection | PubMed |
description | BACKGROUND: The geometry of the vessels is easy to assess in novel 3D studies. It has significant influence on flow patterns and this way the evolution of vascular pathologies such as aneurysms and atherosclerosis. It is essential to develop robust system for vascular anatomy measurement and digital description allowing for assessment of big numbers of vessels. METHODS: A semiautomatic, robust, integrated method for vascular anatomy measurements and mathematical description are presented. Bezier splines of 6th degree and continuity of C3 was proposed and distribution of control points was dependent on local radius. Due to main interest of our institution, the system was primarily used for the assessment of the geometry of the intracranial arteries, especially the first Medial Cerebral Artery division. RESULTS: 1359 synthetic figures were generated: 381 torus and 978 spirals. Experimental verification of the proposed methodology was conducted on 400 Middle Cerebral Artery divisions. CONCLUSIONS: In difference to other described solution all proposed methodology steps were integrated allows analysis of variability of geometrical parameters among big number of Medial Cerebral Artery bifurcations using single application. This allows for determination of significant trends in the parameters variability with age and in contrary almost no differences between men and women. |
format | Online Article Text |
id | pubmed-6114498 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-61144982018-09-04 Semi-automatic measurements and description of the geometry of vascular tree based on Bézier spline curves: application to cerebral arteries Żyłkowski, Jarosław Rosiak, Grzegorz Spinczyk, Dominik Biomed Eng Online Research BACKGROUND: The geometry of the vessels is easy to assess in novel 3D studies. It has significant influence on flow patterns and this way the evolution of vascular pathologies such as aneurysms and atherosclerosis. It is essential to develop robust system for vascular anatomy measurement and digital description allowing for assessment of big numbers of vessels. METHODS: A semiautomatic, robust, integrated method for vascular anatomy measurements and mathematical description are presented. Bezier splines of 6th degree and continuity of C3 was proposed and distribution of control points was dependent on local radius. Due to main interest of our institution, the system was primarily used for the assessment of the geometry of the intracranial arteries, especially the first Medial Cerebral Artery division. RESULTS: 1359 synthetic figures were generated: 381 torus and 978 spirals. Experimental verification of the proposed methodology was conducted on 400 Middle Cerebral Artery divisions. CONCLUSIONS: In difference to other described solution all proposed methodology steps were integrated allows analysis of variability of geometrical parameters among big number of Medial Cerebral Artery bifurcations using single application. This allows for determination of significant trends in the parameters variability with age and in contrary almost no differences between men and women. BioMed Central 2018-08-29 /pmc/articles/PMC6114498/ /pubmed/30157865 http://dx.doi.org/10.1186/s12938-018-0547-8 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Żyłkowski, Jarosław Rosiak, Grzegorz Spinczyk, Dominik Semi-automatic measurements and description of the geometry of vascular tree based on Bézier spline curves: application to cerebral arteries |
title | Semi-automatic measurements and description of the geometry of vascular tree based on Bézier spline curves: application to cerebral arteries |
title_full | Semi-automatic measurements and description of the geometry of vascular tree based on Bézier spline curves: application to cerebral arteries |
title_fullStr | Semi-automatic measurements and description of the geometry of vascular tree based on Bézier spline curves: application to cerebral arteries |
title_full_unstemmed | Semi-automatic measurements and description of the geometry of vascular tree based on Bézier spline curves: application to cerebral arteries |
title_short | Semi-automatic measurements and description of the geometry of vascular tree based on Bézier spline curves: application to cerebral arteries |
title_sort | semi-automatic measurements and description of the geometry of vascular tree based on bézier spline curves: application to cerebral arteries |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6114498/ https://www.ncbi.nlm.nih.gov/pubmed/30157865 http://dx.doi.org/10.1186/s12938-018-0547-8 |
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