MR Imaging of Human Brain Mechanics In Vivo: New Measurements to Facilitate the Development of Computational Models of Brain Injury

Philip V. Bayly, Ahmed Alshareef, Andrew K. Knutsen, Kshitiz Upadhyay, Ruth J. Okamoto, Aaron Carass, John A. Butman, Dzung L. Pham, Jerry L. Prince, K. T. Ramesh, Curtis L. Johnson

Research output: Contribution to journalReview articlepeer-review

Abstract

Computational models of the brain and its biomechanical response to skull accelerations are important tools for understanding and predicting traumatic brain injuries (TBIs). However, most models have been developed using experimental data collected on animal models and cadaveric specimens, both of which differ from the living human brain. Here we describe efforts to noninvasively measure the biomechanical response of the human brain with MRI—at non-injurious strain levels—and generate data that can be used to develop, calibrate, and evaluate computational brain biomechanics models. Specifically, this paper reports on a project supported by the National Institute of Neurological Disorders and Stroke to comprehensively image brain anatomy and geometry, mechanical properties, and brain deformations that arise from impulsive and harmonic skull loadings. The outcome of this work will be a publicly available dataset (http://www.nitrc.org/projects/bbir) that includes measurements on both males and females across an age range from adolescence to older adulthood. This article describes the rationale and approach for this study, the data available, and how these data may be used to develop new computational models and augment existing approaches; it will serve as a reference to researchers interested in using these data.

Original languageEnglish (US)
Pages (from-to)2677-2692
Number of pages16
JournalAnnals of biomedical engineering
Volume49
Issue number10
DOIs
StatePublished - Oct 2021
Externally publishedYes

Keywords

  • Computational models
  • Deformation
  • Magnetic resonance imaging
  • Strain
  • Traumatic brain injury

ASJC Scopus subject areas

  • Biomedical Engineering

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