An Evaluation of Tentorium and Brainstem Influences on Intracranial Displacements and Strains.
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| Title: | An Evaluation of Tentorium and Brainstem Influences on Intracranial Displacements and Strains. |
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| Authors: | Xu, Sheng1 (AUTHOR), Ouellet, Simon2 (AUTHOR), Petel, Oren E.1 (AUTHOR) oren.petel@carleton.ca |
| Source: | Annals of Biomedical Engineering. Jul2025, Vol. 53 Issue 7, p1689-1702. 14p. |
| Subjects: | Digital image correlation, X-ray imaging, Personal protective equipment, Conditioned response, Strain rate |
| Abstract: | Headforms are commonly used as tools in the design and qualification of personal protective equipment. Deformable headforms, containing elastomeric brain models, provide a unique opportunity to directly measure the in situ intracranial strain from an impact; however, these physical models require significant refinement to ensure biofidelity. In the present work, the response and biofidelity of a deformable headform and brain model were investigated, comparing the influence of different boundary conditions on its response. More precisely, the presence or absence of a tentorium or a brainstem model were investigated, focusing on the resulting intracranial displacement and strain fields. The headforms were subjected to a series of linear impacts and deformations within the brain were tracked using embedded radiopaque markers and high-speed X-ray imaging. X-Ray Digital Image Correlation was used to calculate displacement and strain fields within the headform. The biofidelity of the displacement and strain fields within the headform design having both a tentorium and a brainstem were compared to Post-Mortem Human Subject (PMHS) data under identical impact conditions. The biofidelity was ranked using a CORA analysis to provide insight for future design refinements of the headform. The biofidelity ratings for displacement were highest in the frontal and occipital regions (good-excellent) and were worst in the insular region (marginal). Meanwhile, the strain biofidelity rating was best in the frontal (good) and cerebellum (good) regions and worst in the insular region (poor-marginal). This work addresses previous limitations in enhancing the biofidelity of closed headforms and offers opportunities for further improvement through the comparison to PMHS data. [ABSTRACT FROM AUTHOR] |
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| Database: | Engineering Source |
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| Abstract: | Headforms are commonly used as tools in the design and qualification of personal protective equipment. Deformable headforms, containing elastomeric brain models, provide a unique opportunity to directly measure the in situ intracranial strain from an impact; however, these physical models require significant refinement to ensure biofidelity. In the present work, the response and biofidelity of a deformable headform and brain model were investigated, comparing the influence of different boundary conditions on its response. More precisely, the presence or absence of a tentorium or a brainstem model were investigated, focusing on the resulting intracranial displacement and strain fields. The headforms were subjected to a series of linear impacts and deformations within the brain were tracked using embedded radiopaque markers and high-speed X-ray imaging. X-Ray Digital Image Correlation was used to calculate displacement and strain fields within the headform. The biofidelity of the displacement and strain fields within the headform design having both a tentorium and a brainstem were compared to Post-Mortem Human Subject (PMHS) data under identical impact conditions. The biofidelity was ranked using a CORA analysis to provide insight for future design refinements of the headform. The biofidelity ratings for displacement were highest in the frontal and occipital regions (good-excellent) and were worst in the insular region (marginal). Meanwhile, the strain biofidelity rating was best in the frontal (good) and cerebellum (good) regions and worst in the insular region (poor-marginal). This work addresses previous limitations in enhancing the biofidelity of closed headforms and offers opportunities for further improvement through the comparison to PMHS data. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 00906964 |
| DOI: | 10.1007/s10439-025-03716-z |
