Consistency assessment of tissue-level brain injury criteria in FEHM

Tissue-level brain injury criteria are essential for analyzing brain injuries using finite element head models (FEHMs), but their consistency remains unclear. This study applied the data-driven method previously proposed for maximum principal strain (MPS) injury criterion to determine thresholds for von Mises stress (VMS), pressure, maximum shear stress (MSS), and the rate of MPS. It then assessed the consistency of these criteria in terms of injury status, injury location, and injury overlap rate in 18 impact simulations. The results showed that the MPS, VMS, and MSS criteria had strong consistency, enhancing the utility of FEHMs in clinical brain injury analysis.

Authors

Institutions

Publication Details

Journal
Computer Methods in Biomechanics & Biomedical Engineering
Published
2025-03-13
DOI
https://doi.org/10.1080/10255842.2025.2476181
Primary Topic
Automotive and Human Injury Biomechanics
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Consistency assessment of tissue-level brain injury criteria in FEHM

Licheng Zhou, Zejia Liu, Liqun Tang, Yuting Zhang et al.
Computer Methods in Biomechanics & Biomedical Engineering
Automotive and Human Injury Biomechanics
article

Consistency assessment of tissue-level brain injury criteria in FEHM

Licheng Zhou, Zejia Liu, Liqun Tang, Yuting Zhang, Yiping Liu, Bao Yang, Zhenyu Jiang
article en

Abstract

Tissue-level brain injury criteria are essential for analyzing brain injuries using finite element head models (FEHMs), but their consistency remains unclear. This study applied the data-driven method previously proposed for maximum principal strain (MPS) injury criterion to determine thresholds for von Mises stress (VMS), pressure, maximum shear stress (MSS), and the rate of MPS. It then assessed the consistency of these criteria in terms of injury status, injury location, and injury overlap rate in 18 impact simulations. The results showed that the MPS, VMS, and MSS criteria had strong consistency, enhancing the utility of FEHMs in clinical brain injury analysis.

Computer Methods in Biomechanics & Biomedical Engineering
South China University of Technology (CN)
National Natural Science Foundation of China, Natural Science Foundation of Guangdong Province
Openalex Percentile: Top 93%
Automotive and Human Injury Biomechanics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Consistency assessment of tissue-level brain injury criteria in FEHM — Licheng Zhou, Zejia Liu, et al. · Computer Methods in Biomechanics & Biomedical Engineering (2025) | TGRS Research Map | TGRS