Welcome to the Medical Image
Analysis (MIA) Laboratory!
MIA lab, 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
