Is Accurate Lumen Segmentation More Important than Outlet Boundary Condition in Image-Based Blood Flow Simulations for Intracranial Aneurysms?


Journal

Cardiovascular engineering and technology
ISSN: 1869-4098
Titre abrégé: Cardiovasc Eng Technol
Pays: United States
ID NLM: 101531846

Informations de publication

Date de publication:
10 2023
Historique:
received: 11 04 2022
accepted: 17 07 2023
medline: 30 10 2023
pubmed: 16 8 2023
entrez: 15 8 2023
Statut: ppublish

Résumé

Image-based blood flow simulations are increasingly used to investigate the hemodynamics in intracranial aneurysms (IAs). However, a strong variability in segmentation approaches as well as the absence of individualized boundary conditions (BCs) influence the quality of these simulation results leading to imprecision and decreased reliability. This study aims to analyze these influences on relevant hemodynamic parameters within IAs. As a follow-up study of an international multiple aneurysms challenge, the segmentation results of five IAs differing in size and location were investigated. Specifically, five possible outlet BCs were considered in each of the IAs. These are comprised of the zero-pressure condition (BC1), a flow distribution based on Murray's law with the exponents n = 2 (BC2) and n = 3 (BC3) as well as two advanced flow-splitting models considering the real vessels by including circular cross sections (BC4) or anatomical cross sections (BC5), respectively. In total, 120 time-dependent blood flow simulations were analyzed qualitatively and quantitatively, focusing on five representative intra-aneurysmal flow and five shear parameters such as vorticity and wall shear stress. The outlet BC variation revealed substantial differences. Higher shear stresses (up to Δ9.69 Pa), intrasaccular velocities (up to Δ0.15 m/s) and vorticities (up to Δ629.22 1/s) were detected when advanced flow-splitting was applied compared to the widely used zero-pressure BC. The tendency of outlets BCs to over- or underestimate hemodynamic parameters is consistent across different segmentations of a single aneurysm model. Segmentation-induced variability reaches Δ19.58 Pa, Δ0.42 m/s and Δ957.27 1/s, respectively. Excluding low fidelity segmentations, however, (a) reduces the deviation drastically (>43%) and (b) leads to a lower impact of the outlet BC on hemodynamic predictions. With a more realistic lumen segmentation, the influence of the BC on the resulting hemodynamics is decreased. A realistic lumen segmentation can be ensured, e.g., by using high-resolved 2D images. Furthermore, the selection of an advanced outflow-splitting model is advised and the use of a zero-pressure BC and BC based on Murray's law with exponent n = 3 should be avoided.

Identifiants

pubmed: 37582997
doi: 10.1007/s13239-023-00675-1
pii: 10.1007/s13239-023-00675-1
pmc: PMC10602961
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

617-630

Informations de copyright

© 2023. The Author(s).

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Auteurs

Jana Korte (J)

Forschungscampus STIMULATE, University of Magdeburg, Magdeburg, Germany. jana.korte@ovgu.de.
Department of Fluid Dynamics and Technical Flows, University of Magdeburg, Magdeburg, Germany. jana.korte@ovgu.de.

Samuel Voß (S)

Forschungscampus STIMULATE, University of Magdeburg, Magdeburg, Germany.
Department of Fluid Dynamics and Technical Flows, University of Magdeburg, Magdeburg, Germany.

Gábor Janiga (G)

Forschungscampus STIMULATE, University of Magdeburg, Magdeburg, Germany.
Department of Fluid Dynamics and Technical Flows, University of Magdeburg, Magdeburg, Germany.

Oliver Beuing (O)

Department of Radiology, AMEOS Hospital, Bernburg, Germany.

Daniel Behme (D)

Department of Neuroradiology, University Hospital of Magdeburg, Magdeburg, Germany.

Sylvia Saalfeld (S)

Forschungscampus STIMULATE, University of Magdeburg, Magdeburg, Germany.
Department of Computer Science and Automation, Ilmenau University of Technology, Ilmenau , Germany.

Philipp Berg (P)

Forschungscampus STIMULATE, University of Magdeburg, Magdeburg, Germany.
Department of Medical Engineering, University of Magdeburg, Magdeburg, Germany.

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