Developing subject-specific models for the study of traumatic brain injury

Project Information

finite-element-analysis, image-processing, matlab, programming, unix-environment, workflow
Project Status: Complete
Project Region: CAREERS
Submitted By: Rika Carlsen
Project Email: carlsen@rmu.edu
Project Institution: Robert Morris University
Anchor Institution: CR-Penn State
Project Address: 6001 University Blvd
Moon Township, Pennsylvania. 15108

Mentors: Anu Tripathi
Students: Jordan Myers

Project Description

Our research group is developing a workflow for generating subject-specific finite element head models from medical imaging data. These head models are applied to simulate blunt impact and blast loading scenarios with a goal of predicting the severity of brain injury. The model generation process includes segmenting the functional and structural regions of the brain, generating an appropriate finite element mesh, and incorporating structural details from medical imaging data. We are seeking a student who is interested in learning the steps in the workflow and developing new methods for improving the anatomical accuracy of these models.

Project Information

finite-element-analysis, image-processing, matlab, programming, unix-environment, workflow
Project Status: Complete
Project Region: CAREERS
Submitted By: Rika Carlsen
Project Email: carlsen@rmu.edu
Project Institution: Robert Morris University
Anchor Institution: CR-Penn State
Project Address: 6001 University Blvd
Moon Township, Pennsylvania. 15108

Mentors: Anu Tripathi
Students: Jordan Myers

Project Description

Our research group is developing a workflow for generating subject-specific finite element head models from medical imaging data. These head models are applied to simulate blunt impact and blast loading scenarios with a goal of predicting the severity of brain injury. The model generation process includes segmenting the functional and structural regions of the brain, generating an appropriate finite element mesh, and incorporating structural details from medical imaging data. We are seeking a student who is interested in learning the steps in the workflow and developing new methods for improving the anatomical accuracy of these models.