DigiBrain

Machine Learning for Predicting Brain Deformation in Concussions using Head Motion (DigiBrain)

Description:

Traumatic Brain Injury (TBI) is a silent epidemic and is a major cause of death and disability worldwide. Still, the primary biomechanics of common direct impact injuries is unclear.  TBIs are mostly characterized using head motion data and are further complemented with sophisticated finite element computer simulations of brain deformation caused by the corresponding head motion.

Physics Informed Neural Networks (PINNs) have shown promising results in computational modelling of partial differential equations and are at early stages of development. The aim of this project is to develop a PINNs-based model to predict brain deformation using the head kinematics, or a Digital Twin of the existing mechanical model used to the predict the brain deformation, using the University College Dublin Brain Trauma Model (UCDBTM).  

Funded by:

The EU Commission Recovery and Resilience Facility under the Science Foundation Ireland Future Digital Challenge Grant Number 22/NCF/FD/11007. 

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