Retinal Image Registration

In addition to researchers from the AI lab and Brigham and Women's Surgical Planning Lab, this work was done with Jeffrey Berger from the Department of Opthalmology, Scheie Eye Institute, University of Pennsylvania, Philadelphia, PA.

We describe the design of an ophthalmic augmented reality environment. Like the registration system for neurosurgical applications, the goal of this system is to provide the surgeon with an enhanced reality visualization that brings an a priori medical scan into correspondence with the real environment. In this application, real-time photographic retinal imagery through a biomicroscope is registered to previously montaged angiographic retinal image data.

Photographic (left) and fluorescein angiographic (right) image of an eye with age-related macular degeneration. The optic nerve is at the far left of each photograph, with the fovea located centrally. Note that the angiogram conveys additional information regarding areas of leaky blood vessels (for example, the sickle-shaped bright spot in the fovea).


Enhanced Reality Visualization

The sickle shaped structure in the center of the angiographic figure, above, is a group of leaky blood vessels that need treated by laser therapy. Without the augmented reality visualization, it is very difficult to localize this region by just looking at the color video image, above. Often surgeons have the angiographic data nearby and attempt mentally register the images to help localize the abnormality. The superposition of the angiographic edges onto the video image clearly illustrates the position of the treatment area.

The registration of these images was computed using the Hausdorff-distance over translation, rotation, and scale.


Image Montaging

We create a montage of images of the eye taken as the eye looks in different directions. This registration process is done off-line and allows for the formation of one complete, coherent dataset to use for the augmented reality visualization (see figure, below). During a procedure, the surgeon sees a small region of the retina when looking through the slit-lamp biomicroscope. The live video image from the microscope will be registered to the montage dataset. The additional information in the dataset (for example, the position of leaky blood vessels) will be superimposed and seen through the slit-lamp microscope (see figure, above).

Publications

J.W. Berger, M.E. Leventon, N. Hata, W.M. Wells III, R. Kikinis. "Design Considerations for a Computer-Vision-Enabled Ophthalmic Augmented Reality Environment." In CVRMED/MRCAS, Grenoble, France, 1997. [color postscript 5.0M] [HTML Version]


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Last updated Feb 5, 1999.
Michael Leventon