Literature DB >> 27502006

Modeling the mechanics of axonal fiber tracts using the embedded finite element method.

Harsha T Garimella1, Reuben H Kraft1,2.   

Abstract

A subject-specific human head finite element model with embedded axonal fiber tractography obtained from diffusion tensor imaging was developed. The axonal fiber tractography finite element model was coupled with the volumetric elements in the head model using the embedded element method. This technique enables the calculation of axonal strains and real-time tracking of the mechanical response of the axonal fiber tracts. The coupled model was then verified using pressure and relative displacement-based (between skull and brain) experimental studies and was employed to analyze a head impact, demonstrating the applicability of this method in studying axonal injury. Following this, a comparison study of different injury criteria was performed. This model was used to determine the influence of impact direction on the extent of the axonal injury. The results suggested that the lateral impact loading is more dangerous compared to loading in the sagittal plane, a finding in agreement with previous studies. Through this analysis, we demonstrated the viability of the embedded element method as an alternative numerical approach for studying axonal injury in patient-specific human head models.
Copyright © 2016 John Wiley & Sons, Ltd.

Entities:  

Keywords:  axonal fiber network; axonal injury; diffusion tensor imaging; embedded element method; finite element model; tractography

Mesh:

Year:  2016        PMID: 27502006     DOI: 10.1002/cnm.2823

Source DB:  PubMed          Journal:  Int J Numer Method Biomed Eng        ISSN: 2040-7939            Impact factor:   2.747


  16 in total

1.  Performance Evaluation of a Pre-computed Brain Response Atlas in Dummy Head Impacts.

Authors:  Wei Zhao; Calvin Kuo; Lyndia Wu; David B Camarillo; Songbai Ji
Journal:  Ann Biomed Eng       Date:  2017-07-14       Impact factor: 3.934

2.  Injury prediction and vulnerability assessment using strain and susceptibility measures of the deep white matter.

Authors:  Wei Zhao; Yunliang Cai; Zhigang Li; Songbai Ji
Journal:  Biomech Model Mechanobiol       Date:  2017-05-12

3.  White Matter Anisotropy for Impact Simulation and Response Sampling in Traumatic Brain Injury.

Authors:  Wei Zhao; Songbai Ji
Journal:  J Neurotrauma       Date:  2018-08-10       Impact factor: 5.269

4.  Displacement voxelization to resolve mesh-image mismatch: Application in deriving dense white matter fiber strains.

Authors:  Songbai Ji; Wei Zhao
Journal:  Comput Methods Programs Biomed       Date:  2021-11-13       Impact factor: 5.428

5.  Displacement- and Strain-Based Discrimination of Head Injury Models across a Wide Range of Blunt Conditions.

Authors:  Wei Zhao; Songbai Ji
Journal:  Ann Biomed Eng       Date:  2020-04-02       Impact factor: 3.934

6.  Incorporation of vasculature in a head injury model lowers local mechanical strains in dynamic impact.

Authors:  Wei Zhao; Songbai Ji
Journal:  J Biomech       Date:  2020-03-02       Impact factor: 2.712

7.  Material properties of the brain in injury-relevant conditions - Experiments and computational modeling.

Authors:  Wei Zhao; Bryan Choate; Songbai Ji
Journal:  J Mech Behav Biomed Mater       Date:  2018-02-06

8.  Multi-Scale White Matter Tract Embedded Brain Finite Element Model Predicts the Location of Traumatic Diffuse Axonal Injury.

Authors:  Marzieh Hajiaghamemar; Susan S Margulies
Journal:  J Neurotrauma       Date:  2020-09-25       Impact factor: 5.269

9.  A Mechanistic End-to-End Concussion Model That Translates Head Kinematics to Neurologic Injury.

Authors:  Laurel J Ng; Vladislav Volman; Melissa M Gibbons; Pi Phohomsiri; Jianxia Cui; Darrell J Swenson; James H Stuhmiller
Journal:  Front Neurol       Date:  2017-06-15       Impact factor: 4.003

Review 10.  A new computational approach for modeling diffusion tractography in the brain.

Authors:  Harsha T Garimella; Reuben H Kraft
Journal:  Neural Regen Res       Date:  2017-01       Impact factor: 5.135

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