Research Area: Imaging
In 10 years, the role of imaging in the health care system will be
radically transformed by a number of converging trends, enabled by
information systems and computational power. Computationally intensive
imaging techniques will provide increasingly powerful spatial and
temporal information that will impact diagnosis, disease progression,
and responses to therapy. We foresee:
- Sophisticated computational methods for analyzing MR data that will greatly increase the value of MR imaging.
- Objective, computer-assisted biomedical image analysis
that will streamline workflow and standardize interpretation of
increasingly complex image data.
The University of Rochester has some extraordinary
strengths in medical imaging and related sciences. The development of
cutting-edge computational tools will enhance existing technologies and
leverage established research through a culture of interdisciplinary
Examples of Success:
- Active partnership with Bausch & Lomb led to the
development of the world’s most frequently used nomogram for precise
laser surgery for correcting refractive errors of vision.
- Collaboration with CareStream (formerly the Kodak health division) focused on digital imaging technologies.
- Kevin Parker
- David Williams
- Jianhui Zhong
- Marvin Doyley
- Jeffery Bazarian
- Brian Blyth
- Tianliang Gu
- Petter Lennie