ArticleFrontiers in bioengineering and biotechnology2021
Subject-Specific Head Model Generation by Mesh Morphing: A Personalization Framework and Its Applications.
Article in Frontiers in bioengineering and biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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11 citing papers in PubMed.
- Combining Static Stance and Dynamic Gait Personalization to Improve the Accuracy of Patient-Specific Finite-Element Models for Hallux Valgus Foot.Annals of biomedical engineering · 2026Article
- Can construction helmets save lives? Evidence from a biomechanical reconstruction of a work-related head trauma.International journal of legal medicine · 2026Article
- An MRI-derived head-neck finite element model.Biomechanics and modeling in mechanobiology · 2025Article
- Surface-based versus voxel-based finite element head models: comparative analyses of strain responses.Biomechanics and modeling in mechanobiology · 2025Article
- A Laplacian-based framework for finite element human body model positioning.Frontiers in bioengineering and biotechnology · 2025Article
- Quantitative morphological analysis framework of infant cranial sutures and fontanelles based on CT images.Journal of anatomy · 2024Article
- Subject-specific finite element head models for skull fracture evaluation-a new tool in forensic pathology.International journal of legal medicine · 2024Article
- Prediction of skull fractures in blunt force head traumas using finite element head models.Biomechanics and modeling in mechanobiology · 2024Article
- Evaluating child helmet protection and testing standards: A study using PIPER child head models aged 1.5, 3, 6, and 18 years.PloS one · 2024Article
- Personalization of human body models and beyond via image registration.Frontiers in bioengineering and biotechnology · 2023Article
- Use of Brain Biomechanical Models for Monitoring Impact Exposure in Contact Sports.Annals of biomedical engineering · 2022Review
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Abstract
Finite element (FE) head models have become powerful tools in many fields within neuroscience, especially for studying the biomechanics of traumatic brain injury (TBI). Subject-specific head models accounting for geometric variations among subjects are needed for more reliable predictions. However, the generation of such models suitable for studying TBIs remains a significant challenge and has been a bottleneck hindering personalized simulations. This study presents a personalization framework for generating subject-specific models across the lifespan and for pathological brains with significant anatomical changes by morphing a baseline model. The framework consists of hierarchical multiple feature and multimodality imaging registrations, mesh morphing, and mesh grouping, which is shown to be efficient with a heterogeneous dataset including a newborn, 1-year-old (1Y), 2Y, adult, 92Y, and a hydrocephalus brain. The generated models of the six subjects show competitive personalization accuracy, demonstrating the capacity of the framework for generating subject-specific models with significant anatomical differences. The family of the generated head models allows studying age-dependent and groupwise brain injury mechanisms. The framework for efficient generation of subject-specific FE head models helps to facilitate personalized simulations in many fields of neuroscience.
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