|
Activity Number:
|
44
|
|
Type:
|
Invited
|
|
Date/Time:
|
Sunday, August 2, 2009 : 4:00 PM to 5:50 PM
|
|
Sponsor:
|
JCGS-Journal of Computational and Graphical Statistics
|
| Abstract - #302850 |
|
Title:
|
Fast Statistical Surrogates for Dynamical 3D Computer Models of Brain Tumor
|
|
Author(s):
|
Dorin Drignei*+
|
|
Companies:
|
Oakland University
|
|
Address:
|
Math-Stat, Rochester, MI, 48309,
|
|
Keywords:
|
Astrocytomas ; BrainWeb ; Kriging ; Numerical models
|
|
Abstract:
|
Understanding how malignant brain tumors are formed and evolve has direct consequences on the development of efficient methods for their early detection and treatment. Mathematical models for brain tumor growth and invasion are implemented in computer models and can be helpful in clarifying some aspects of the mechanism responsible for the tumor. The computer model considered here is computationally intensive and it is defined on a three dimensional (3D) anatomically accurate digital representation of the human brain and on a time interval of hundreds of days to realistically simulate the tumor development. This talk presents a computationally efficient multidimensional kriging method to predict the evolution of the virtual brain tumor at new inputs, conditioned on the virtual brain tumor data available from a small size computer experiment.
|
