Embedded Finite Elements for Modeling Axonal Injury

Harsha T. Garimella, Ritika R. Menghani, Jesse I. Gerber, Srikumar Sridhar, Reuben H. Kraft

Research output: Contribution to journalArticlepeer-review

30 Scopus citations


The purpose of this paper is to propose and develop a large strain embedded finite element formulation that can be used to explicitly model axonal fiber bundle tractography from diffusion tensor imaging of the brain. Once incorporated, the fibers offer the capability to monitor tract-level strains that give insight into the biomechanics of brain injury. We show that one commercial software has a volume and mass redundancy issue when including embedded axonal fiber and that a newly developed algorithm is able to correct this discrepancy. We provide a validation analysis for stress and energy to demonstrate the method.

Original languageEnglish (US)
Pages (from-to)1889-1907
Number of pages19
JournalAnnals of Biomedical Engineering
Issue number9
StatePublished - Sep 15 2019

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering


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