Surface-Based vs. Voxel-Based Finite Element Head Models: Comparative Analyses of Strain Responses DOI
Zhou Zhou, Xiaogai Li, Svein Kleiven

et al.

Published: Sept. 8, 2024

Abstract Finite element (FE) models of the human head are important injury assessment tools but developing a high-quality, hexahedral-meshed FE model without compromising geometric accuracy is challenging task. Important brain features, such as cortical folds and ventricles, were captured only in handful that primarily developed from two meshing techniques, i.e., surface-based with conforming elements to capture interfacial boundaries voxel-based by converting segmented voxels into smoothing. Despite these advancements, little knowledge existed how similar strain responses between surface- models. To address this, previously meshes folds-subarachnoid cerebrospinal fluid brain-ventricle interfaces was reused, mesh smoothing newly created here. These three employed simulate impacts. The results showed remarkable similarities When calculating commonly used metrics, including percentile strains below maximum (e.g., 95 strain) volume over certain thresholds, virtually identical. examining distribution, different patterns at boundary sulci gyri cortex, regions adjacent falx tentorium) differences exceeding 0.1. procedure marginally reduced discrepancies compared model. This study yielded new quantitative insights general similarity underscored caution should be exercised when using interface predict injury.

Language: Английский

Surface-based versus voxel-based finite element head models: comparative analyses of strain responses DOI Creative Commons
Zhou Zhou, Xiaogai Li, Svein Kleiven

et al.

Biomechanics and Modeling in Mechanobiology, Journal Year: 2025, Volume and Issue: unknown

Published: March 11, 2025

Language: Английский

Citations

1
Bridging biomechanics with neuropathological and neuroimaging insights for mTBI understanding through multiscale and multiphysics computational modeling DOI
Zhibo Du, Jiarui Zhang, Xinghao Wang

et al.

Biomechanics and Modeling in Mechanobiology, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 11, 2025

Language: Английский

Citations

0
Effect of Impact Kinematic Filters on Brain Strain Responses in Contact Sports DOI
Nan Lin, Gregory Tierney, Songbai Ji

et al.

IEEE Transactions on Biomedical Engineering, Journal Year: 2024, Volume and Issue: 71(9), P. 2781 - 2788

Published: April 23, 2024

Impact kinematics are widely employed to investigate mechanisms of traumatic brain injury (TBI). However, they susceptible noise and artefacts; thus, require data filtering. Few studies have focused on how filtering affects strain most relevant TBI. Here, we report that impact-induced strains much less sensitive than based three methods: CFC180, lowpass 200 Hz, a new method called Head Exposure Acceleration Database in Sport (HEADSport).

Language: Английский

Citations

3
The White Matter Fiber Tract Deforms Most in the Perpendicular Direction During In Vivo Volunteer Impacts DOI
Zhou Zhou,

Christoffer Olsson,

Thomas C. Gasser

et al.

Journal of Neurotrauma, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 30, 2024

White matter (WM) tract-related strains are increasingly used to quantify brain mechanical responses, but their dynamics in live human brains during

Language: Английский

Citations

2
The white matter fiber tract deforms most in the perpendicular direction during in vivo volunteer impacts DOI Creative Commons
Zhou Zhou,

Christoffer Olsson,

Thomas C. Gasser

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: March 27, 2024

Abstract White matter (WM) tract-related strains are increasingly used to quantify brain mechanical responses, but their dynamics in live human brains during vivo impact conditions remain largely unknown. Existing research primarily looked into the normal strain along WM fiber tracts (i.e., tract-oriented strain), it is rarely case that tract only endures impacts. In this study, we aim extend measurement of deformation by quantifying perpendicular tract-perpendicular strain) and shear strain, respectively). To achieve this, combine three-dimensional tensor from tagged magnetic resonance imaging (tMRI) with diffusion (DTI) an open-access dataset, including 44 volunteer impacts under two head loading modes, i.e., neck rotations (N = 30) extensions 14). The rotated coordinate system one axis aligned DTI-revealed orientation then four measures calculated. results show peaks largest among types ( p < 0.05, Friedman’s test). distribution affected mode, which laterally symmetric patterns respect midsagittal plane noted extensions, not rotations. Our study presents a comprehensive quantification towards multifaceted understanding dynamics. We find deforms most direction, illuminating new fundamentals mechanics. reported images can be evaluate fidelity computational models, especially those intended predict non-injurious conditions.

Language: Английский

Citations

0
Surface-Based vs. Voxel-Based Finite Element Head Models: Comparative Analyses of Strain Responses DOI
Zhou Zhou, Xiaogai Li, Svein Kleiven

et al.

Published: Sept. 8, 2024

Abstract Finite element (FE) models of the human head are important injury assessment tools but developing a high-quality, hexahedral-meshed FE model without compromising geometric accuracy is challenging task. Important brain features, such as cortical folds and ventricles, were captured only in handful that primarily developed from two meshing techniques, i.e., surface-based with conforming elements to capture interfacial boundaries voxel-based by converting segmented voxels into smoothing. Despite these advancements, little knowledge existed how similar strain responses between surface- models. To address this, previously meshes folds-subarachnoid cerebrospinal fluid brain-ventricle interfaces was reused, mesh smoothing newly created here. These three employed simulate impacts. The results showed remarkable similarities When calculating commonly used metrics, including percentile strains below maximum (e.g., 95 strain) volume over certain thresholds, virtually identical. examining distribution, different patterns at boundary sulci gyri cortex, regions adjacent falx tentorium) differences exceeding 0.1. procedure marginally reduced discrepancies compared model. This study yielded new quantitative insights general similarity underscored caution should be exercised when using interface predict injury.

Language: Английский

Citations

0