Cargando…

Hodge decomposition of wall shear stress vector fields characterizing biological flows

A discrete boundary-sensitive Hodge decomposition is proposed as a central tool for the analysis of wall shear stress (WSS) vector fields in aortic blood flows. The method is based on novel results for the smooth and discrete Hodge–Morrey–Friedrichs decomposition on manifolds with boundary and subdi...

Descripción completa

Detalles Bibliográficos
Autores principales: Razafindrazaka, Faniry H., Yevtushenko, Pavlo, Poelke, Konstantin, Polthier, Konrad, Goubergrits, Leonid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6408383/
https://www.ncbi.nlm.nih.gov/pubmed/30891301
http://dx.doi.org/10.1098/rsos.181970
_version_ 1783401738132258816
author Razafindrazaka, Faniry H.
Yevtushenko, Pavlo
Poelke, Konstantin
Polthier, Konrad
Goubergrits, Leonid
author_facet Razafindrazaka, Faniry H.
Yevtushenko, Pavlo
Poelke, Konstantin
Polthier, Konrad
Goubergrits, Leonid
author_sort Razafindrazaka, Faniry H.
collection PubMed
description A discrete boundary-sensitive Hodge decomposition is proposed as a central tool for the analysis of wall shear stress (WSS) vector fields in aortic blood flows. The method is based on novel results for the smooth and discrete Hodge–Morrey–Friedrichs decomposition on manifolds with boundary and subdivides the WSS vector field into five components: gradient (curl-free), co-gradient (divergence-free) and three harmonic fields induced from the boundary, which are called the centre, Neumann and Dirichlet fields. First, an analysis of WSS in several simulated simplified phantom geometries (duct and idealized aorta) was performed in order to understand the nature of the five components. It was shown that the decomposition is able to distinguish harmonic blood flow arising from the inlet from harmonic circulations induced by the interior topology of the geometry. Finally, a comparative analysis of 11 patients with coarctation of the aorta (CoA) before and after treatment as well as 10 control patients was done. The study shows a significant difference between the CoA patients before and after the treatment, and the healthy controls. This means a global difference between aortic shapes of diseased and healthy subjects, thus leading to a new type of WSS-based analysis and classification of pathological and physiological blood flow.
format Online
Article
Text
id pubmed-6408383
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher The Royal Society
record_format MEDLINE/PubMed
spelling pubmed-64083832019-03-19 Hodge decomposition of wall shear stress vector fields characterizing biological flows Razafindrazaka, Faniry H. Yevtushenko, Pavlo Poelke, Konstantin Polthier, Konrad Goubergrits, Leonid R Soc Open Sci Engineering A discrete boundary-sensitive Hodge decomposition is proposed as a central tool for the analysis of wall shear stress (WSS) vector fields in aortic blood flows. The method is based on novel results for the smooth and discrete Hodge–Morrey–Friedrichs decomposition on manifolds with boundary and subdivides the WSS vector field into five components: gradient (curl-free), co-gradient (divergence-free) and three harmonic fields induced from the boundary, which are called the centre, Neumann and Dirichlet fields. First, an analysis of WSS in several simulated simplified phantom geometries (duct and idealized aorta) was performed in order to understand the nature of the five components. It was shown that the decomposition is able to distinguish harmonic blood flow arising from the inlet from harmonic circulations induced by the interior topology of the geometry. Finally, a comparative analysis of 11 patients with coarctation of the aorta (CoA) before and after treatment as well as 10 control patients was done. The study shows a significant difference between the CoA patients before and after the treatment, and the healthy controls. This means a global difference between aortic shapes of diseased and healthy subjects, thus leading to a new type of WSS-based analysis and classification of pathological and physiological blood flow. The Royal Society 2019-02-06 /pmc/articles/PMC6408383/ /pubmed/30891301 http://dx.doi.org/10.1098/rsos.181970 Text en © 2019 The Authors. http://creativecommons.org/licenses/by/4.0/ Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
spellingShingle Engineering
Razafindrazaka, Faniry H.
Yevtushenko, Pavlo
Poelke, Konstantin
Polthier, Konrad
Goubergrits, Leonid
Hodge decomposition of wall shear stress vector fields characterizing biological flows
title Hodge decomposition of wall shear stress vector fields characterizing biological flows
title_full Hodge decomposition of wall shear stress vector fields characterizing biological flows
title_fullStr Hodge decomposition of wall shear stress vector fields characterizing biological flows
title_full_unstemmed Hodge decomposition of wall shear stress vector fields characterizing biological flows
title_short Hodge decomposition of wall shear stress vector fields characterizing biological flows
title_sort hodge decomposition of wall shear stress vector fields characterizing biological flows
topic Engineering
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6408383/
https://www.ncbi.nlm.nih.gov/pubmed/30891301
http://dx.doi.org/10.1098/rsos.181970
work_keys_str_mv AT razafindrazakafaniryh hodgedecompositionofwallshearstressvectorfieldscharacterizingbiologicalflows
AT yevtushenkopavlo hodgedecompositionofwallshearstressvectorfieldscharacterizingbiologicalflows
AT poelkekonstantin hodgedecompositionofwallshearstressvectorfieldscharacterizingbiologicalflows
AT polthierkonrad hodgedecompositionofwallshearstressvectorfieldscharacterizingbiologicalflows
AT goubergritsleonid hodgedecompositionofwallshearstressvectorfieldscharacterizingbiologicalflows