SUPR
Detailed brain modeling and personalization
Dnr:

NAISS 2024/5-64

Type:

NAISS Medium Compute

Principal Investigator:

Xiaogai Li

Affiliation:

Kungliga Tekniska högskolan

Start Date:

2024-02-28

End Date:

2025-03-01

Primary Classification:

20699: Other Medical Engineering

Secondary Classification:

30402: Biomedical Laboratory Science/Technology

Allocation

Abstract

Finite element (FE) method is a numerical approach to solve partial differential equations (PDEs). It allows accounting anatomical details, together with advanced material properties, has been shown a powerful tool for investigating the injury mechanisms. FE head models of humans have shown to be a powerful tool with wide applications, e.g., to study head injury mechanisms which in turn aid the design of safety products (e.g., helmet and safer vehicles), and aid forensic diagnosis for potential child abuse. The applicant has developed a detailed head model (the ADAPT head model) and a personalization framework that allow efficient generation of subject-specific head models. We are using this detailed head model in multiple projects, including: To study brain injury mechanisms of infants for forensic diagnosis; reconstruct fall accidents, and comparing with clinical medical images; clinical applications of the model for improved treatment. The head model has more than four million elements, thus require computational resources that are outside the capacity of our local resources and this motivates the current application. With support from IT people from PDC, the needed software LS-Dyna has been installed on Beskow, which the applicant will apply for.