We develop methods to use data from magnetic resonance elastography (MRE) and tagged magnetic resonance imaging (MRI) to build and assess computational models of the living human brain, so as to better predict actual patterns of brain deformation. We parameterize and assess the models using experimental data, emphasizing the modes and natural frequencies of brain oscillation and the response of the brain to frequencies in skull motion. We use two model types: (i) population-average models for each age/gender group; (ii) subject-specific models. We focus on nonlinear, hyper-viscoelastic models intended for large deformations. This project provides the capability to accurately simulate brain deformation and to interpret model predictions, ultimately enabling end-users to relate mechanics to pathology.
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Funding Agency
Funding Agency
NIH National Institute for Neurological Disorders and Stroke
Project Team
Jiahao Wei, KT Ramesh
Collaborators
Prof. Philip Bayly and Dr. Ruth Okamoto at Washington University in St. Louis; Prof. Curtis Johnson at the University of Delaware; Dr. Dzung Pham at the Henry Jackson Foundation; Dr. John Butman at the NIH Clinical Center
Research Areas
Mechanics
Biomechanics
AI/ML
Grant Number
U01 NS112120.