Rapid Estimation of Entire Brain Strain Using Deep Learning Models.

Journal: IEEE transactions on bio-medical engineering
Published Date: Oct 19, 2021

Abstract

OBJECTIVE: Many recent studies suggest that brain deformation resulting from head impacts are linked to the corresponding clinical outcome, such as mild traumatic brain injury (mTBI). Even if several finite element (FE) head models have been developed and validated to calculate brain deformation based on impact kinematics, the clinical application of these FE head models is limited due to the time-consuming nature of FE simulations. This work aims to accelerate the brain deformation calculation and thus improve the potential for clinical applications.

Authors

  • Xianghao Zhan
    Department of Bioengineering, Stanford University, CA, 94305, USA.
  • Yuzhe Liu
    School of Biological Science and Medical Engineering, BeiHang University, Beijing, 10019, China.
  • Samuel Raymond
  • Hossein Vahid Alizadeh
  • August Domel
  • Olivier Gevaert
    Department of Biomedical Data Science, Stanford University, CA, 94305, USA.
  • Michael Zeineh
    Department of Radiology, Stanford University, 1201 Welch Road, Stanford, CA, 94305, USA.
  • Gerald Grant
    Department of Pediatric Neurosurgery, Lucile Packard Children's Hospital at Stanford University, Palo Alto, 94305, USA.
  • David Camarillo

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