Evidence mapPaperPMID 41239896Full record

ArticleJournal of biomechanical engineering2026

Comparative Analysis of Open-Source Finite Element Method Solvers for Computational Fluid Dynamics Performance in a Carotid Artery Model.

Alexis Throop, Nathan Sudbury, Lucas H Timmins, Hediyeh Baradaran, Jeffrey A Weiss, Amirhossein Arzani

Abstract readComparative Study
In one paragraph

Article in Journal of biomechanical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Alexis ThroopDepartment of Mechanical Engineering, University of Utah, Salt Lake City, UT 84112;Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT 84112.
Nathan SudburyDepartment of Mechanical Engineering, University of Utah, Salt Lake City, UT 84112;Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT 84112.
Lucas H TimminsScientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT 84112;Department of Biomedical Engineering, Texas A&M University, Houston, TX 77030;Department of Biomedical Engineering, University of Utah, Salt Lake City, UT 84112.
Hediyeh BaradaranDepartment of Radiology and Imaging Science, University of Utah, Salt Lake City, UT 84132.
Jeffrey A WeissScientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT 84112;Department of Biomedical Engineering, University of Utah, Salt Lake City, UT 84112.ORCID 0000-0002-7264-2454
Amirhossein ArzaniDepartment of Mechanical Engineering, University of Utah, Salt Lake City, UT 84112;Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT 84112.

Funding

NIH HHS 2R01GM083925
6 · The paper itself

Abstract

Computational fluid dynamics (CFD) is commonly used to investigate hemodynamics in the cardiovascular system, particularly in regions prone to cardiovascular disease, such as the carotid artery bifurcation. Despite its potential, significant variability exists across different computational approaches, highlighting the need for systematic solver comparisons. This study provides a comprehensive evaluation of three open-source finite element method (FEM) solvers-SimVascular, FEBio, and FEniCS Oasis-for simulating blood flow in a subject-specific carotid artery model. We conducted a rigorous comparison using a model derived from 4D phase-contrast magnetic resonance imaging (4D Flow MRI), examining solver performance across multiple mesh resolutions. This analysis focused on key hemodynamic metrics, including velocity fields, time-averaged wall shear stress (TAWSS), oscillatory shear index (OSI), and wall shear stress (WSS) topology. By maintaining identical meshes, boundary conditions, and postprocessing methods, we isolated solver-specific characteristics while focusing on high-resolution mesh refinements. All solvers demonstrated similar capability in representing the 4D-Flow MRI data. Notably, all solvers consistently identified critical hemodynamic regions, such as flow disturbance zones in the carotid sinus. Mesh convergence analysis showed the ability of all solvers to achieve converged predictions at relatively lower mesh resolutions. The computational time was also compared across the three solvers. While demonstrating the capabilities of each solver in predicting physiologically relevant hemodynamic patterns, our study underscores the utility of open-source solvers for high-fidelity hemodynamic predictions.

Indexed as

Carotid ArteriesFinite Element AnalysisHydrodynamicsModels, CardiovascularComputer SimulationHemodynamicsHumansMagnetic Resonance ImagingStress, Mechanical4D flow MRIcarotid arterycomputational fluid dynamicsfinite element methodhemodynamics

Identifiers

PMID41239896
PMCPMC12755170

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.