Masato Terasaki, Graduate Student in Applied Math
Wednesday, May 11, at 11amZoom: https://ucmerced.zoom.us/j/98050375649?pwd=bFFYaFlJUG5TTVFNeStzaHBCS1grUT09
Title: Mathematical Modeling of Brain Cancer Growth
Abstract: Glioblastoma multiforme (GBM) is one of the fastest-growing brain tumors and it has very low survival rates. Mathematical modeling can be used to predict the growth and treatment of brain cancer. However, one of the difficulties lies in the ability to estimate patient-specific parameters in the mathematical model from magnetic resonance imaging (MRI) data. We constructed a numerical solver to simulate tumor growth over a realistic 3D brain geometry derived from segmented-MRI. Then, using information about the size of the different glioma sub-regions, we are developing a method that estimates the patient-specific model parameters to inform the forward simulation. Our goal is to predict the overall survival of a patient from a single pre-operative scan.
