On Challenges in Developing a High-Fidelity Model of the Human Head for Traumatic Brain Injury Prediction

Abstract

This report elucidates current challenges in development of predictive high-fidelity human head models for traumatic brain injury. Various developmental stages of the NRL high-fidelity head model, are used to describe the challenges encountered and how they can be overcome. Semi-automatic segmentation procedures, meshing to balance fidelity and cost of computation, realistic boundary and contact conditions, accurate component constitutive models based on published data, and validation with experimental output from PMHS subjects are explained. The elucidation of specific and overarching challenges are expected to enable appreciation and creation of better computational models.

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Document Details

Document Type
Technical Report
Publication Date
Oct 03, 2018
Accession Number
AD1063014

Entities

People

  • Amit Bagchi
  • Nithyanand Kota
  • Robert N Saunders
  • Siddiq Qidwai

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Accuracy
  • Air Force Research Laboratories
  • Automobiles
  • Blast
  • Bone Diseases
  • Brain
  • Brain Injuries
  • Computer-Aided Design
  • Data Set
  • Department Of Defense
  • Detectors
  • Diagnostic Imaging
  • Digital Data
  • Dura Mater
  • Dynamic Response
  • Elastic Properties
  • Experimental Data
  • Finite Element Analysis
  • Geometry
  • Image Processing
  • Magnetic Resonance
  • Materials
  • Measurement
  • Mechanical Properties
  • Military Research
  • Pressure Measurement
  • Reliability
  • Simulations
  • Skull
  • Standards
  • Test Methods
  • Three Dimensional
  • X-Ray Computed Tomography

Readers

  • Computational Fluid Dynamics (CFD)
  • Neurotrauma and Rehabilitation Medicine.
  • Theoretical Analysis.