Dinggang Shen, PhD, University of North Carolina

chardfriendlyAI and Robotics

Oct 16, 2013 (4 years and 9 months ago)




Computational Methods for Quantification of Brain Disorders

Dinggang Shen

Department of Radiology

Chapel Hill




This talk will summarize our work on analysis of MR brain images. Our ma
in goal is to develop
automated analysis methods for precise quantification of subtle and complex structural/functional
changes in the brains, with applications in early detection of brain disorders, such as Alzheimer's
Disease (AD). To achieve this goal,
we developed a 3D brain registration method, called HAMMER,
for inter
subject registration, and also a 4D (3 spatial dimensions + 1 temporal dimension) brain
registration method to obtain more accurate measurements for tiny longitudinal brain changes,
ared to the 3D registration methods. For better alignment of a population of images, we have
recently developed several groupwise registration methods for joint registration of all images together,
thus further improving the registration accuracy among all

images. With accurate brain
structural/functional information measured by our registration methods, we further developed a
multivariate analysis method, based on support vector machine, to jointly consider all
structural/functional changes for determining

the group difference between normal and abnormal
brains, i.e., due to diseases, aging, or brain disorders. We have applied our developed methods to
aided diagnosis of schizophrenia and AD. Details of these 3D, 4D, and groupwise
registration metho
ds, as well as brain classification methods, will be discussed in this talk.

Biographical Sketch:

Dinggang Shen is an Associate Professor of Radiology, Biomedical Research Imaging Center (BRIC),
Computer Science, and Biomedical Engineering in the Univers
ity of North Carolina at Chapel Hill
CH). He is currently directing the Image Display, Enhancement, and Analysis (IDEA) Lab in
the Department of Radiology, and also the medical image analysis core in the BRIC. Before joining
CH, he was a tenure
ack assistant professor in the University of Pennsylvanian (UPenn), and a
faculty member in the Johns Hopkins University before joining UPenn. Dr. Shen’s research interests
include medical image analysis, computer vision, and pattern recognition. He has pu
blished more than
250 papers in the international journals and conference proceedings. He serves as an editorial board
member for four international journals.