FURI | Spring 2022
Filtering MRI Images to Improve Pharmacokinetic Modeling of GdDO3NI in Brain Tumors
Pharmacokinetics involves the study of the movement of exogenous chemicals such as drugs and imaging agents through the body. Modeling the passage of a hypoxia targeting imaging agent using Magnetic Resonance Imaging (MRI) would allow for the identification of tumors, as well as the characterization of their hypoxic and normoxic regions. Fermi filters were designed and optimized to improve signal-to-noise ratio in T1-weighted and time course MRI images. These images, along with T2-weighted images and T1 maps, were used in the pharmacokinetic model to compare transport kinetics in tumors, muscles, and healthy brain regions. These methods could be used to better inform cancer patient treatment strategies.
Hometown: Albuquerque, New Mexico, United States
Graduation date: Spring 2022