2013
DOI: 10.21236/ada592261
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Fiber Segment-Based Degradation Methods for a Finite Element-Informed Structural Brain Network

Abstract: Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing the burden, to Department of Defense, Washington Headquarters Services, Directorate for Informat… Show more

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Cited by 1 publication
(2 citation statements)
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“…This section briefly outlines a potential application of our constitutive model to brain tissue. Previously, a transversely isotropic hyperelastic constitutive model with a single fiber family was developed by Kraft and Dagro (27) and later used by McKee et al (28). In this model, diffusion spectrum imaging (DSI) was used to provide the constitutive model with the corresponding fiber directions.…”
Section: Modeling Brain Tissuementioning
confidence: 99%
See 1 more Smart Citation
“…This section briefly outlines a potential application of our constitutive model to brain tissue. Previously, a transversely isotropic hyperelastic constitutive model with a single fiber family was developed by Kraft and Dagro (27) and later used by McKee et al (28). In this model, diffusion spectrum imaging (DSI) was used to provide the constitutive model with the corresponding fiber directions.…”
Section: Modeling Brain Tissuementioning
confidence: 99%
“…The authors' solution was to provide an average over fiber directions as a first approximation with the intent to extend their model in the future to handle additional fiber families. Using some raw voxel data provided by these authors (27,28), we developed a simple method to extract two fiber directions. Figure 9 presents some example results of this procedure.…”
Section: Modeling Brain Tissuementioning
confidence: 99%