Branching Exponents of Synthetic Vascular Trees under Different Optimality Principles

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

  • Etienne Jessen
  • Marc C. Steinbach
  • Charlotte Debbaut
  • Dominik Schillinger

Organisationseinheiten

Externe Organisationen

  • Technische Universität Darmstadt
  • Universiteit Gent
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Details

OriginalspracheEnglisch
Seiten (von - bis)1345-1354
Seitenumfang10
FachzeitschriftIEEE Transactions on Biomedical Engineering
Jahrgang71
Ausgabenummer4
Frühes Online-Datum20 Nov. 2023
PublikationsstatusVeröffentlicht - 24 Apr. 2024

Abstract

<italic>Objective:</italic> The branching behavior of vascular trees is often characterized using Murray&#x0027;s law. We investigate its validity using synthetic vascular trees generated under global optimization criteria. <italic>Methods:</italic> Our synthetic tree model does not incorporate Murray&#x0027;s law explicitly. Instead, we show that its validity depends on properties of the optimization model and investigate the effects of different physical constraints and optimization goals on the branching exponent that is now allowed to vary locally. In particular, we include variable blood viscosity due to the F&#x00E5;hr&#x00E6;s&#x2013;Lindqvist effect and enforce an equal pressure drop between inflow and the micro-circulation. Using our global optimization framework, we generate vascular trees with over one million terminal vessels and compare them against a detailed corrosion cast of the portal venous tree of a human liver. <italic>Results:</italic> Murray&#x0027;s law is fulfilled when no additional constraints are enforced, indicating its validity in this setting. Variable blood viscosity or equal pressure drop lead to different optima but with the branching exponent inside the experimentally predicted range between 2.0 and 3.0. The validation against the corrosion cast shows good agreement from the portal vein down to the venules. <italic>Conclusion:</italic> Not enforcing Murray&#x0027;s law increases the predictive capabilities of synthetic vascular trees, and in addition reduces the computational cost. <italic>Significance:</italic> The ability to study optimal branching exponents across different scales can improve the functional assessment of organs.

ASJC Scopus Sachgebiete

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Branching Exponents of Synthetic Vascular Trees under Different Optimality Principles. / Jessen, Etienne; Steinbach, Marc C.; Debbaut, Charlotte et al.
in: IEEE Transactions on Biomedical Engineering, Jahrgang 71, Nr. 4, 24.04.2024, S. 1345-1354.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Jessen, E., Steinbach, M. C., Debbaut, C., & Schillinger, D. (2024). Branching Exponents of Synthetic Vascular Trees under Different Optimality Principles. IEEE Transactions on Biomedical Engineering, 71(4), 1345-1354. Vorabveröffentlichung online. https://doi.org/10.1109/TBME.2023.3334758
Jessen E, Steinbach MC, Debbaut C, Schillinger D. Branching Exponents of Synthetic Vascular Trees under Different Optimality Principles. IEEE Transactions on Biomedical Engineering. 2024 Apr 24;71(4):1345-1354. Epub 2023 Nov 20. doi: 10.1109/TBME.2023.3334758
Jessen, Etienne ; Steinbach, Marc C. ; Debbaut, Charlotte et al. / Branching Exponents of Synthetic Vascular Trees under Different Optimality Principles. in: IEEE Transactions on Biomedical Engineering. 2024 ; Jahrgang 71, Nr. 4. S. 1345-1354.
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abstract = "Objective: The branching behavior of vascular trees is often characterized using Murray's law. We investigate its validity using synthetic vascular trees generated under global optimization criteria. Methods: Our synthetic tree model does not incorporate Murray's law explicitly. Instead, we show that its validity depends on properties of the optimization model and investigate the effects of different physical constraints and optimization goals on the branching exponent that is now allowed to vary locally. In particular, we include variable blood viscosity due to the F{\aa}hr{\ae}s–Lindqvist effect and enforce an equal pressure drop between inflow and the micro-circulation. Using our global optimization framework, we generate vascular trees with over one million terminal vessels and compare them against a detailed corrosion cast of the portal venous tree of a human liver. Results: Murray's law is fulfilled when no additional constraints are enforced, indicating its validity in this setting. Variable blood viscosity or equal pressure drop lead to different optima but with the branching exponent inside the experimentally predicted range between 2.0 and 3.0. The validation against the corrosion cast shows good agreement from the portal vein down to the venules. Conclusion: Not enforcing Murray's law increases the predictive capabilities of synthetic vascular trees, and in addition reduces the computational cost. Significance: The ability to study optimal branching exponents across different scales can improve the functional assessment of organs.",
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AU - Schillinger, Dominik

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N2 - Objective: The branching behavior of vascular trees is often characterized using Murray's law. We investigate its validity using synthetic vascular trees generated under global optimization criteria. Methods: Our synthetic tree model does not incorporate Murray's law explicitly. Instead, we show that its validity depends on properties of the optimization model and investigate the effects of different physical constraints and optimization goals on the branching exponent that is now allowed to vary locally. In particular, we include variable blood viscosity due to the Fåhræs–Lindqvist effect and enforce an equal pressure drop between inflow and the micro-circulation. Using our global optimization framework, we generate vascular trees with over one million terminal vessels and compare them against a detailed corrosion cast of the portal venous tree of a human liver. Results: Murray's law is fulfilled when no additional constraints are enforced, indicating its validity in this setting. Variable blood viscosity or equal pressure drop lead to different optima but with the branching exponent inside the experimentally predicted range between 2.0 and 3.0. The validation against the corrosion cast shows good agreement from the portal vein down to the venules. Conclusion: Not enforcing Murray's law increases the predictive capabilities of synthetic vascular trees, and in addition reduces the computational cost. Significance: The ability to study optimal branching exponents across different scales can improve the functional assessment of organs.

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