Evidence map›Paper›PMID 38056313›Full record

ArticleComputer methods and programs in biomedicine2024

A systematic comparison between FEBio and PolyFEM for biomechanical systems.

Liam Martin, Pranav Jain, Zachary Ferguson, Torkan Gholamalizadeh, Faezeh Moshfeghifar, Kenny Erleben, Daniele Panozzo, Steven Abramowitch, Teseo Schneider

Abstract read
In one paragraph

Article in Computer methods and programs in biomedicine, 2024. 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

9 authors.

Liam MartinUniversity of Pittsburgh Swanson School of Engineering, USA.
Pranav JainNew York University, USA.
Zachary FergusonNew York University, USA.
Torkan Gholamalizadeh3Shape A/S, Denmark.
Faezeh MoshfeghifarUniversity of Copenhagen, Denmark.
Kenny ErlebenUniversity of Copenhagen, Denmark.
Daniele PanozzoNew York University, USA.
Steven AbramowitchUniversity of Pittsburgh Swanson School of Engineering, USA.
Teseo SchneiderUniversity of Victoria, Canada. Electronic address: teseo@uvic.ca.

Funding

Porosity and tensioning: Critical factors to consider when choosing a prolapse meshR01HD083383 · NICHD · MAGEE-WOMEN'S RES INST AND FOUNDATION · PI ABRAMOWITCH, STEVEN D, MOALLI, PAMELA A. · 2016 to 2025
$5.5M
Overcoming complications of polypropylene prolapse meshes: Development of novel elastomeric membranesR01HD097187 · NICHD · MAGEE-WOMEN'S RES INST AND FOUNDATION · PI Katrina Marquita Knight, Pamela A. Moalli · 2019 to 2026
$3.9M
Prospective RCT of Obstructed Defecation Surgery: Comparing Transvaginal Rectopexy, Ventral Mesh Rectopexy and POP Repair (PROD Trial)R01DK133328 · NIDDK · ENDEAVOR HEALTH CLINICAL OPERATIONS · PI ROSTAMI NIA, GHAZALEH · 2023 to 2024
$1.1M
NICHD NIH HHS R01 HD083383NICHD NIH HHS R01 HD097187NIDDK NIH HHS R01 DK133328
6 · The paper itself

Abstract

BACKGROUND AND

objectivesFinite element simulations are widely employed as a non-invasive and cost-effective approach for predicting outcomes in biomechanical simulations. However, traditional finite element software, primarily designed for engineering materials, often encountered limitations in contact detection and enforcement, leading to simulation failure when dealing with complex biomechanical configurations. Currently, a lot of model tuning is required to get physically accurate finite element simulations without failures. This adds significant human interaction to each iteration of a biomechanical model. This study addressed these issues by introducing PolyFEM, a novel finite element solver that guarantees inversion- and intersection-free solutions with completely automatic collision detection. The objective of this research is to validate PolyFEM's capabilities by comparing its results with those obtained from a well-established finite element solver, FEBio.

methodsTo achieve this goal, five comparison scenarios were formulated to assess and validate PolyFEM's performance. The simulations were reproduced using both PolyFEM and FEBio, and the final results were compared. The five comparison scenarios included: (1) reproducing simulations from the FEBio test suite, consisting of static, dynamic, and contact-driven simulations; (2) replicating simulations from the verification paper published alongside the original release of FEBio; (3) a biomechanically based contact problem; (4) creating a custom simulation involving high-energy collisions between soft materials to highlight the difference in collision methods between the two solvers; and (5) performing biomechanical simulations of biting and quasi-stance.

resultsWe found that PolyFEM was capable of replicating all simulations previously conducted in FEBio. Particularly noteworthy is PolyFEM's superiority in high-energy contact simulations, where FEBio fell short, unable to complete over half of the simulations in Scenario 4. Although some of the simulations required significantly more simulation time in PolyFEM compared to FEBio, it is important to highlight that PolyFEM achieved these results without the need for any additional model tuning or contact declaration. DISCUSSION: Despite being in the early stages of development, PolyFEM currently provides verified solutions for hyperelastic materials that are consistent with FEBio, both in previously published workflows and novel finite element scenarios. PolyFEM exhibited the ability to tackle challenging biomechanical problems where other solvers fell short, thus offering the potential to enhance the accuracy and realism of future finite element analyses.

Indexed as

SoftwareBiomechanical PhenomenaComputer SimulationFinite Element AnalysisHumansBenchmarkContactFinite element analysisFinite element verificationLarge deformation

Identifiers

PMID38056313
PMCPMC10843651

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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 OpenQuestion graph.