Publicação
Detailed CAD and finite element modelling of a female brain
| Resumo: | Chronic traumatic encephalopathy (CTE) is a neurodegenerative disease usually associated with repetitive mild traumatic brain injuries (mTBI). To better understand the interactions and forces applied in different constituents of the human head, several finite element head models (FEHM) have been developed throughout the years. These models offer a good cost-effective and ethical approach compared to experimental tests. Although male subjects are much more likely to suffer a TBI, the anatomical and physiological sex differences in the brain justify the need of a representative head model of a female brain. Once validated, the female finite element head model (FeFEHM) will allow a better understanding of injury mechanisms in the corpus callosum (CC) resulting in neuronal damage, which can support the development of specific injury criteria and its correlation with sites of deposition of hyperphosphorylated tau (p-tau), also known as neurofibrillary tangles (NFT), associated with Alzheimer’s disease and related tauopathies. This dissertation encompasses the approached methodology starting from medical images (computerised tomography and magnetic resonance imaging scans), computer-aided design modelling and finite element modelling until the validation process using experimental data of brain displacements conducted on human cadavers. The material modelling of the brain is performed using an age-specific characterization of the brain using microindentation at dynamic rates and under large deformation, with a similar age to the patient used to model the FeFEHM. A total of two case studies are also performed in order to highlight the future importance of this model for the biomechanical analysis of impacts and head acceleration scenarios. Finally, a discussion is made as well as suggestions of future improvements on the model. |
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| Autores principais: | Carmo, Gustavo Pereira |
| Assunto: | Chronic traumatic encephalopathy Numerical head model Biomechanics Finite element method Corpus callosum |
| Ano: | 2022 |
| País: | Portugal |
| Tipo de documento: | dissertação de mestrado |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade de Aveiro |
| Idioma: | inglês |
| Origem: | RIA - Repositório Institucional da Universidade de Aveiro |
| Resumo: | Chronic traumatic encephalopathy (CTE) is a neurodegenerative disease usually associated with repetitive mild traumatic brain injuries (mTBI). To better understand the interactions and forces applied in different constituents of the human head, several finite element head models (FEHM) have been developed throughout the years. These models offer a good cost-effective and ethical approach compared to experimental tests. Although male subjects are much more likely to suffer a TBI, the anatomical and physiological sex differences in the brain justify the need of a representative head model of a female brain. Once validated, the female finite element head model (FeFEHM) will allow a better understanding of injury mechanisms in the corpus callosum (CC) resulting in neuronal damage, which can support the development of specific injury criteria and its correlation with sites of deposition of hyperphosphorylated tau (p-tau), also known as neurofibrillary tangles (NFT), associated with Alzheimer’s disease and related tauopathies. This dissertation encompasses the approached methodology starting from medical images (computerised tomography and magnetic resonance imaging scans), computer-aided design modelling and finite element modelling until the validation process using experimental data of brain displacements conducted on human cadavers. The material modelling of the brain is performed using an age-specific characterization of the brain using microindentation at dynamic rates and under large deformation, with a similar age to the patient used to model the FeFEHM. A total of two case studies are also performed in order to highlight the future importance of this model for the biomechanical analysis of impacts and head acceleration scenarios. Finally, a discussion is made as well as suggestions of future improvements on the model. |
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