Research Areas
Medical Imaging
Technological advances have made
human imaging possible at scales from
a single molecule to the whole body.
By linking the anatomical data collected
with emerging imaging technologies to
computer simulations, researchers now
can form truly functional images of
individual patients. These images will
allow physicians not only to see what a
patient’s organs look like but also how
they are functioning even at the
smallest dimensions. A major challenge
is how to store, analyze, distribute,
understand and use the enormous
amount of data associated with
thousands of images.
Biomedical engineering stands at the
forefront of this effort because its
researchers are able to integrate the
engineering tools needed to solve
the technological problems of image
analysis with the deeper knowledge of
the underlying biological mechanisms.
Already, members of the Department
of Biomedical Engineering, in close collaboration with the Departments of Applied Mathematics and Statistics, Computer Science, Electrical and Computer Engineering, and Radiology, have pioneered the use of
imaging technology in computational
anatomy, neuropsychiatry, computer-integrated surgery and cardiac
procedures.
Now, researchers are expanding their
imaging efforts into other modalities
and organ systems. Ultimately, their
work will contribute to advancing
image-guided therapy and to the early
diagnosis and treatment of a host of
disorders, including heart disease and
brain dysfunction.
Research in imaging includes:
- Creating new systems and methods
for measuring and analyzing imaging
data in humans, developing mathematical and computational approaches to
compare data across individuals, and
applying these techniques to understand, diagnose and treat disease.
- Using novel imaging techniques to
provide information on three-dimen-
sional structure and function at the
molecular, cellular, tissue, organ and
organism level.
- Improving ways to image blood flow
and cardiac motion with magnetic
resonance imaging, computed tomography, ultrasound and fluoroscopy.
- Finding and modeling the cerebral
cortex to understand both normal and
abnormal shape and the relation to
genetic and environmental disease.
- Developing bio-inspired algorithms for recognizing objects and actions in video.
Faculty working in this areaGary Brooker Ph.D. Daniel Herzka Ph.D. Scot Kuo Ph.D. Xingde Li Ph.D. Elliot McVeigh Ph.D. Michael Miller Ph.D. Tilak Ratnanather D.Phil. Jeffrey Siewerdsen Ph.D. J. Stayman Ph.D. Rene Vidal Ph.D. Wojciech Zbijewski Ph.D. BME labs working in this areaAdvanced Imaging for Molecular and Cellular Studies Center for Imaging Science Dynamic Imaging Laboratory Laboratory of Biophotonics Imaging Technologies (BIT) Mathematical Analysis of NeuroImaging of the Cerebral Brain Shape Analysis Laboratory The I-STAR Lab The I-STAR Lab Vision, Dynamics and Learning Lab
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