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Erschienen in: Medical & Biological Engineering & Computing 3/2019

02.10.2018 | Original Article

Multiregional viscoelastic characterization of the corona radiata in the sagittal plane of the porcine brain

verfasst von: Chunyang Pan, Fuqian Chen, Jun Zhou, Xueen Li, Feng Zhao, Xutao Zhang

Erschienen in: Medical & Biological Engineering & Computing | Ausgabe 3/2019

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Abstract

Detailed finite element (FE) models are used as promising tools to investigate traumatic brain injuries, although their accuracy is strongly dependent on the characterization of the mechanical behaviors of the different anatomic structures in the brain. In some cases, when the FE models require finer spatial resolution, the heterogeneous and anisotropic corona radiata cannot be taken as a homogeneous whole body. In this work, indentation experiments were conducted on the anterior, superior, and posterior regions of the corona radiata in the sagittal plane. To determine the parameters available for computational modeling purposes, a linear viscoelastic model using the Boltzmann hereditary integral was fitted to the force-time data of the three regions. In the indentation tests, the superior region appeared to be the stiffest, while no significant differences were observed between the anterior and posterior regions until the viscoelastic tissue reached equilibrium. During the period of relaxation, statistical comparisons among the different regions indicated significant differences between the superior and anterior regions, and between the superior and posterior regions. This work complements existing investigations into the anatomic heterogeneity of the brain, and contributes toward improving the spatial resolution of future computational models.

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Metadaten
Titel
Multiregional viscoelastic characterization of the corona radiata in the sagittal plane of the porcine brain
verfasst von
Chunyang Pan
Fuqian Chen
Jun Zhou
Xueen Li
Feng Zhao
Xutao Zhang
Publikationsdatum
02.10.2018
Verlag
Springer Berlin Heidelberg
Erschienen in
Medical & Biological Engineering & Computing / Ausgabe 3/2019
Print ISSN: 0140-0118
Elektronische ISSN: 1741-0444
DOI
https://doi.org/10.1007/s11517-018-1891-3

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