Registration-Based Change Detection Charles V. Stewart Department of Computer Science

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Registration-Based Change
Detection
Charles V. Stewart
Department of Computer Science
Rensselaer Polytechnic Institute
Change Mosaics
This animation shows mosaiced and
registered color fundus images of a
patient with retinal vasculitis taken
over a period of 2 years and 3
months. Each mosaic shows
combined images taken during a
single sitting. All mosaics are
aligned. This allows visualization of
the progress of disease. The next
slide shows expanded views of five
regions where changes appear to have
occurred. Registration with
fluorescien angiography, which we
have demonstrated, is needed to
confirm the significance of the
changes.
We are developing techniques to
automatically detect and characterize
changes, for use as an aid to clinical
diagnosis as well as in clinical trials
and reading centers. Fully automatic
registration and mosaic construction
make this capability possible.
Expanded Views of Changes in
Small Image Regions
In these clipped regions of the animations (a few overlap slightly), changes appear to have occured in the
position, caliber, and tortuosity of some vessels. A few vessels seem to have disappeared, although this has not
been confirmed. Neovascularization around the optic disk (NVD) is apparent in the rightmost clip. Again,
fully-automatic and precise alignment enables the visualization of these changes.
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