Atlas of acceleration-induced brain deformation from measurements in vivo

Arnold D. Gomez, Andrew Knutsen, Deva Chan, Yuan Chiao Lu, Dzung L. Pham, Philip Bayly, Jerry L. Prince

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

In traumatic brain injury (TBI), rapid head acceleration resulting from a blow or fall results in detrimental brain tissue deformation. These types of injuries are frequent and can have devastating effects. Understanding the relationship between acceleration and deformation is a challenging and essential step towards designing effective preventive strategies. This study describes patterns of acceleration-induced brain deformation in a group of human volunteers (n = 7). Unlike previous research, the analysis herein involved spatiotemporal analysis of 3D kinematics. In each subject, tagged magnetic resonance imaging (MRI) was acquired during a mild acceleration event, and displacements were extracted using a mechanically regularized motion estimation algorithm. This technique involved registering an anatomical template (a finite-element mesh) to all of the subjects allowing translation of scalar strain projections back to the template to be averaged. Our results show that, in individuals, weighting acceleration measurements by the subject's brain volume improves the correlation between acceleration magnitude and deformation (R 2 of 0.66 in the weighted comparison, compared to 0.34). In individuals, and the group, brain deformation peaked after the peak acceleration, and near the interface between the brain and the skull. However, some deformation was also observed near medial brain structures, which supports the idea that the falx plays a role in transferring mechanical power to the middle of the brain.

Original languageEnglish (US)
Title of host publicationComputational Biomechanics for Medicine
Subtitle of host publicationMeasurements, Models, and Predictions
PublisherSpringer International Publishing
Pages3-14
Number of pages12
ISBN (Electronic)9783319755892
ISBN (Print)9783319755885
DOIs
StatePublished - May 14 2018

ASJC Scopus subject areas

  • Engineering(all)
  • Computer Science(all)
  • Medicine(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Physics and Astronomy(all)

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  • Cite this

    Gomez, A. D., Knutsen, A., Chan, D., Lu, Y. C., Pham, D. L., Bayly, P., & Prince, J. L. (2018). Atlas of acceleration-induced brain deformation from measurements in vivo. In Computational Biomechanics for Medicine: Measurements, Models, and Predictions (pp. 3-14). Springer International Publishing. https://doi.org/10.1007/978-3-319-75589-2_2