Welcome to the Medical Image Analysis
MIALAB, headed by Dr.
Vince Calhoun, focuses on developing
and optimizing methods and software for
quantitative analysis of structure and function
in medical images with particular focus
on the study of psychiatric illness. We
work with many types of data, including
functional magnetic resonance imaging (fMRI),
diffusion tensor imaging (DTI), electroencephalography
(EEG), structural imaging and genetic data.
Much of our time is spent working on
new methods for flexible analysis of brain
imaging data. The use of data driven approaches
is very useful for extracting potentially
unpredictable patterns within these data.
However such methods can be further improved
by incorporating additional prior information
as constraints, in order to benefit from
what we know. To this end, we draw heavily
from the areas of image processing, adaptive
signal processing, estimation theory, neural
networks, statistical signal processing,
and pattern recognition.
Vince D. Calhoun, Ph.D
Executive Science Officer and Director
Image Analysis & MR Research