Kinetic Parametric Estimation Using Positron Emission Tomographic
Data
Abstract
In this talk I will present a simple model that describes FDG dynamics
in the brain. Using PET data to estimate the output from this model, we
obtain an inverse problem for the determination of kinetic rate
constants for different tissue types in the brain. I will describe
several solution techniques based on least squares, and total least
squares algorithms. This is initial work on which the development of a
whole brain parametric imaging technique will be based. The research is
joint with Cristina Negoita in our department, and Dr. Kewei Chen of the
Good Samaritan PET Center in Phoenix.
