A Versatile Hybrid Agent-Based, Particle and Partial Differential Equations Method to Analyze Vascular Adaptation

Marc Garbey; Stefano Casarin; Scott Berceli

doi:10.1007/978-3-319-93701-4_68

A Versatile Hybrid Agent-Based, Particle and Partial Differential Equations Method to Analyze Vascular Adaptation

Marc Garbey, Stefano Casarin, Scott Berceli

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

Failure of peripheral endovascular interventions occurs at the intersection of vascular biology, biomechanics, and clinical decision making. It is our hypothesis that most of the endovascular treatments share the same driving mechanisms during post-surgical follow-up, and accordingly, a deep understanding of them is mandatory in order to improve the current surgical outcome. This work presents a versatile model of vascular adaptation post vein graft bypass intervention to treat arterial occlusions. The goal is to improve the computational models developed so far by effectively modeling the cell-cell and cell-membrane interactions that are recognized to be pivotal elements for the re-organization of the graft’s structure. A numerical method is here designed to combine the best features of an Agent-Based Model and a Partial Differential Equations model in order to get as close as possible to the physiological reality while keeping the implementation both simple and general.

Original language	English (US)
Title of host publication	Computational Science – ICCS 2018 - 18th International Conference, Proceedings
Editors	Valeria V. Krzhizhanovskaya, Michael Harold Lees, Peter M. Sloot, Jack Dongarra, Yong Shi, Yingjie Tian, Haohuan Fu
Publisher	Springer-Verlag
Pages	856-868
Number of pages	13
ISBN (Print)	9783319937007
DOIs	https://doi.org/10.1007/978-3-319-93701-4_68
State	Published - 2018
Event	18th International Conference on Computational Science, ICCS 2018 - Wuxi, China Duration: Jun 11 2018 → Jun 13 2018

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10861 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	18th International Conference on Computational Science, ICCS 2018
Country/Territory	China
City	Wuxi
Period	6/11/18 → 6/13/18

Keywords

Immersed Boundary Method
PDE model
Particle model
Vascular adaptation

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-319-93701-4_68

Cite this

Garbey, M., Casarin, S., & Berceli, S. (2018). A Versatile Hybrid Agent-Based, Particle and Partial Differential Equations Method to Analyze Vascular Adaptation. In V. V. Krzhizhanovskaya, M. H. Lees, P. M. Sloot, J. Dongarra, Y. Shi, Y. Tian, & H. Fu (Eds.), Computational Science – ICCS 2018 - 18th International Conference, Proceedings (pp. 856-868). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10861 LNCS). Springer-Verlag. https://doi.org/10.1007/978-3-319-93701-4_68

A Versatile Hybrid Agent-Based, Particle and Partial Differential Equations Method to Analyze Vascular Adaptation. / Garbey, Marc; Casarin, Stefano; Berceli, Scott.
Computational Science – ICCS 2018 - 18th International Conference, Proceedings. ed. / Valeria V. Krzhizhanovskaya; Michael Harold Lees; Peter M. Sloot; Jack Dongarra; Yong Shi; Yingjie Tian; Haohuan Fu. Springer-Verlag, 2018. p. 856-868 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10861 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Garbey, M, Casarin, S & Berceli, S 2018, A Versatile Hybrid Agent-Based, Particle and Partial Differential Equations Method to Analyze Vascular Adaptation. in VV Krzhizhanovskaya, MH Lees, PM Sloot, J Dongarra, Y Shi, Y Tian & H Fu (eds), Computational Science – ICCS 2018 - 18th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10861 LNCS, Springer-Verlag, pp. 856-868, 18th International Conference on Computational Science, ICCS 2018, Wuxi, China, 6/11/18. https://doi.org/10.1007/978-3-319-93701-4_68

Garbey M, Casarin S, Berceli S. A Versatile Hybrid Agent-Based, Particle and Partial Differential Equations Method to Analyze Vascular Adaptation. In Krzhizhanovskaya VV, Lees MH, Sloot PM, Dongarra J, Shi Y, Tian Y, Fu H, editors, Computational Science – ICCS 2018 - 18th International Conference, Proceedings. Springer-Verlag. 2018. p. 856-868. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-93701-4_68

Garbey, Marc ; Casarin, Stefano ; Berceli, Scott. / A Versatile Hybrid Agent-Based, Particle and Partial Differential Equations Method to Analyze Vascular Adaptation. Computational Science – ICCS 2018 - 18th International Conference, Proceedings. editor / Valeria V. Krzhizhanovskaya ; Michael Harold Lees ; Peter M. Sloot ; Jack Dongarra ; Yong Shi ; Yingjie Tian ; Haohuan Fu. Springer-Verlag, 2018. pp. 856-868 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Failure of peripheral endovascular interventions occurs at the intersection of vascular biology, biomechanics, and clinical decision making. It is our hypothesis that most of the endovascular treatments share the same driving mechanisms during post-surgical follow-up, and accordingly, a deep understanding of them is mandatory in order to improve the current surgical outcome. This work presents a versatile model of vascular adaptation post vein graft bypass intervention to treat arterial occlusions. The goal is to improve the computational models developed so far by effectively modeling the cell-cell and cell-membrane interactions that are recognized to be pivotal elements for the re-organization of the graft{\textquoteright}s structure. A numerical method is here designed to combine the best features of an Agent-Based Model and a Partial Differential Equations model in order to get as close as possible to the physiological reality while keeping the implementation both simple and general.",

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AB - Failure of peripheral endovascular interventions occurs at the intersection of vascular biology, biomechanics, and clinical decision making. It is our hypothesis that most of the endovascular treatments share the same driving mechanisms during post-surgical follow-up, and accordingly, a deep understanding of them is mandatory in order to improve the current surgical outcome. This work presents a versatile model of vascular adaptation post vein graft bypass intervention to treat arterial occlusions. The goal is to improve the computational models developed so far by effectively modeling the cell-cell and cell-membrane interactions that are recognized to be pivotal elements for the re-organization of the graft’s structure. A numerical method is here designed to combine the best features of an Agent-Based Model and a Partial Differential Equations model in order to get as close as possible to the physiological reality while keeping the implementation both simple and general.

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A Versatile Hybrid Agent-Based, Particle and Partial Differential Equations Method to Analyze Vascular Adaptation

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Keywords

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