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.
Details
Title
- Analyzing Parameter Impact in Computational Modeling of Glioblastoma Multiforme Growth
Contributors
- Shayegan, Tara (Author)
- Kostelich, Eric (Thesis director)
- Kuang, Yang (Committee member)
- Barrett, The Honors College (Contributor)
- School of Human Evolution & Social Change (Contributor)
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2024-05
Resource Type
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