Abstract
The underlying mechanics surrounding vulnerability of human brains in response to impact is critical to our ability to diagnose and treat traumatic brain injury (TBI), but our understanding of brain mechanical behavior is incomplete. Tagged MRI (tMRI) and magnetic resonance elastography (MRE) are two imaging techniques that are used to visualize and quantify deformation fields in human brains in vivo. The objective of this thesis is to gain a better understanding of brain vulnerability, by quantitively analyzing deformation fields extracted from in vivo human imaging studies. This was achieved through the following aims: (1) Extract mode shapes and natural frequencies of 3D brain deformation from transient strain data collected from human brains in vivo; (2) Quantitatively compare deformations in the human brains induced by harmonic head motion to the modes of deformation estimated from impulsive motion; and (3) explore the effects of (i) anatomical features like brain size, brain shape, brain age, and (ii) details of imposed head motion, on brain vulnerability and the similarity of brain deformation observed in different scans in different individuals.
Committee Chair
Philip Bayly
Degree
Doctor of Philosophy (PhD)
Author's Department
Mechanical Engineering & Materials Science
Document Type
Dissertation
Date of Award
5-14-2024
Language
English (en)
DOI
https://doi.org/10.7936/ktb9-jy69
Recommended Citation
Escarcega, Jordan De Niro, "Structural Dynamics of the Human Brain in Vivo from Tagged MRI and MR Elastography" (2024). McKelvey School of Engineering Theses & Dissertations. 1034.
The definitive version is available at https://doi.org/10.7936/ktb9-jy69