Analyzing Parameter Impact in Computational Modeling of Glioblastoma Multiforme Growth
Description
Glioblastoma Multiforme is a prevalent and aggressive brain tumor. It has an average 5-year survival rate of 6% and average survival time of 14 months. Using patient-specific MRI data from the Barrow Neurological Institute, this thesis investigates the impact of parameter manipulation on reaction-diffusion models for predicting and simulating glioblastoma growth. The study aims to explore key factors influencing tumor morphology and to contribute to enhancing prediction techniques for treatment.
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2024-05
Agent
- Author (aut): Shayegan, Tara
- Thesis director: Kostelich, Eric
- Committee member: Kuang, Yang
- Contributor (ctb): Barrett, The Honors College
- Contributor (ctb): School of Human Evolution & Social Change