Evidence map›Paper›PMID 40067579›Full record

ArticleBiomechanics and modeling in mechanobiology2025

Surface-based versus voxel-based finite element head models: comparative analyses of strain responses.

Zhou Zhou, Xiaogai Li, Svein Kleiven

Abstract readComparative Study
In one paragraph

Article in Biomechanics and modeling in mechanobiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Zhou ZhouDivision of Neuronic Engineering, KTH Royal Institute of Technology, 14152, Stockholm, Sweden. zhouz@kth.se.
Xiaogai LiDivision of Neuronic Engineering, KTH Royal Institute of Technology, 14152, Stockholm, Sweden.
Svein KleivenDivision of Neuronic Engineering, KTH Royal Institute of Technology, 14152, Stockholm, Sweden.

Funding

Skyltfonden from the trafiksäkerhet TRV 2024/23811
6 · The paper itself

Abstract

Finite element (FE) models of the human head are important injury assessment tools but developing a high-quality, hexahedral-meshed FE head model without compromising geometric accuracy is a challenging task. Important brain features, such as the cortical folds and ventricles, were captured only in a handful of FE head models that were primarily developed from two meshing techniques, i.e., surface-based meshing with conforming elements to capture the interfacial boundaries and voxel-based meshing by converting the segmented voxels into elements with and without mesh smoothing. Despite these advancements, little knowledge existed of how similar the strain responses were between surface- and voxel-based FE head models. This study uniquely addressed this gap by presenting three anatomically detailed models - a surface-based model with conforming meshes to capture the cortical folds-subarachnoid cerebrospinal fluid and brain-ventricle interfaces, and two voxel-based models (with and without mesh smoothing) - derived from the same imaging dataset. All numerical settings in the three models were exactly the same, except for the meshes. These three models were employed to simulate head impacts. The results showed that, when calculating commonly used injury metrics, including the percentile strains below the maximum (e.g., 99 percentile strain) and the volume of brain element with the strain over certain thresholds, the responses of the three models were virtually identical. Different strain patterns existed between the surface- and the voxel-based models at the interfacial boundary (e.g., sulci and gyri in the cortex, regions adjacent to the falx and tentorium) with strain differences exceeding 0.1, but remarkable similarities were noted at the non-interfacial region. The mesh smoothing procedure marginally reduced the strain discrepancies between the voxel- and surface-based model. This study yielded new quantitative insights into the general similarity in the strain responses between the surface- and voxel-based FE head models and underscored that caution should be exercised when using the strain at the interface to predict injury.

Indexed as

Finite Element AnalysisHeadModels, BiologicalStress, MechanicalBiomechanical PhenomenaComputer SimulationHumansModels, AnatomicSurface PropertiesBrain strainFinite element head modelsHexahedral mesh techniquesSurface- and voxel-based meshingTraumatic brain injury

Identifiers

PMID40067579
PMCPMC12162777

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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.