Parallel generation of extensive vascular networks with application to an archetypal human kidney model

Given the relevance of the inextricable coupling between microcirculation and physiology, and the relation to organ function and disease progression, the construction of synthetic vascular networks for mathematical modelling and computer simulation is becoming an increasingly broad field of research...

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Autores principales:	L. F. M. Cury, G. D. Maso Talou, M. Younes-Ibrahim, P. J. Blanco
Formato:	article
Lenguaje:	EN
Publicado:	The Royal Society 2021
Materias:	microcirculation constrained constructive optimization parallel computing haemodynamics renal vasculature Science Q
Acceso en línea:	https://doaj.org/article/65aeb520c1c648aea8fb364e5935ffb1
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spelling	oai:doaj.org-article:65aeb520c1c648aea8fb364e5935ffb12021-12-01T08:05:34ZParallel generation of extensive vascular networks with application to an archetypal human kidney model10.1098/rsos.2109732054-5703https://doaj.org/article/65aeb520c1c648aea8fb364e5935ffb12021-12-01T00:00:00Zhttps://royalsocietypublishing.org/doi/10.1098/rsos.210973https://doaj.org/toc/2054-5703Given the relevance of the inextricable coupling between microcirculation and physiology, and the relation to organ function and disease progression, the construction of synthetic vascular networks for mathematical modelling and computer simulation is becoming an increasingly broad field of research. Building vascular networks that mimic in vivo morphometry is feasible through algorithms such as constrained constructive optimization (CCO) and variations. Nevertheless, these methods are limited by the maximum number of vessels to be generated due to the whole network update required at each vessel addition. In this work, we propose a CCO-based approach endowed with a domain decomposition strategy to concurrently create vascular networks. The performance of this approach is evaluated by analysing the agreement with the sequentially generated networks and studying the scalability when building vascular networks up to 200 000 vascular segments. Finally, we apply our method to vascularize a highly complex geometry corresponding to the cortex of a prototypical human kidney. The technique presented in this work enables the automatic generation of extensive vascular networks, removing the limitation from previous works. Thus, we can extend vascular networks (e.g. obtained from medical images) to pre-arteriolar level, yielding patient-specific whole-organ vascular models with an unprecedented level of detail.L. F. M. CuryG. D. Maso TalouM. Younes-IbrahimP. J. BlancoThe Royal Societyarticlemicrocirculationconstrained constructive optimizationparallel computinghaemodynamicsrenal vasculatureScienceQENRoyal Society Open Science, Vol 8, Iss 12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	microcirculation constrained constructive optimization parallel computing haemodynamics renal vasculature Science Q
spellingShingle	microcirculation constrained constructive optimization parallel computing haemodynamics renal vasculature Science Q L. F. M. Cury G. D. Maso Talou M. Younes-Ibrahim P. J. Blanco Parallel generation of extensive vascular networks with application to an archetypal human kidney model
description	Given the relevance of the inextricable coupling between microcirculation and physiology, and the relation to organ function and disease progression, the construction of synthetic vascular networks for mathematical modelling and computer simulation is becoming an increasingly broad field of research. Building vascular networks that mimic in vivo morphometry is feasible through algorithms such as constrained constructive optimization (CCO) and variations. Nevertheless, these methods are limited by the maximum number of vessels to be generated due to the whole network update required at each vessel addition. In this work, we propose a CCO-based approach endowed with a domain decomposition strategy to concurrently create vascular networks. The performance of this approach is evaluated by analysing the agreement with the sequentially generated networks and studying the scalability when building vascular networks up to 200 000 vascular segments. Finally, we apply our method to vascularize a highly complex geometry corresponding to the cortex of a prototypical human kidney. The technique presented in this work enables the automatic generation of extensive vascular networks, removing the limitation from previous works. Thus, we can extend vascular networks (e.g. obtained from medical images) to pre-arteriolar level, yielding patient-specific whole-organ vascular models with an unprecedented level of detail.
format	article
author	L. F. M. Cury G. D. Maso Talou M. Younes-Ibrahim P. J. Blanco
author_facet	L. F. M. Cury G. D. Maso Talou M. Younes-Ibrahim P. J. Blanco
author_sort	L. F. M. Cury
title	Parallel generation of extensive vascular networks with application to an archetypal human kidney model
title_short	Parallel generation of extensive vascular networks with application to an archetypal human kidney model
title_full	Parallel generation of extensive vascular networks with application to an archetypal human kidney model
title_fullStr	Parallel generation of extensive vascular networks with application to an archetypal human kidney model
title_full_unstemmed	Parallel generation of extensive vascular networks with application to an archetypal human kidney model
title_sort	parallel generation of extensive vascular networks with application to an archetypal human kidney model
publisher	The Royal Society
publishDate	2021
url	https://doaj.org/article/65aeb520c1c648aea8fb364e5935ffb1
work_keys_str_mv	AT lfmcury parallelgenerationofextensivevascularnetworkswithapplicationtoanarchetypalhumankidneymodel AT gdmasotalou parallelgenerationofextensivevascularnetworkswithapplicationtoanarchetypalhumankidneymodel AT myounesibrahim parallelgenerationofextensivevascularnetworkswithapplicationtoanarchetypalhumankidneymodel AT pjblanco parallelgenerationofextensivevascularnetworkswithapplicationtoanarchetypalhumankidneymodel
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Parallel generation of extensive vascular networks with application to an archetypal human kidney model

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