Retinal Vascular Tracing Project
Project
The objective of this project is to accelerate an existing real-time algorithm for tracing
of the vasculature and analysis of intersections and crossovers in live high-resolution
retinal fundus
image
sequences, by using reconfigurable hardware.
People
Faculty:
Dr. Miriam Leeser [1]
Dr. Badrinath Roysam [2]
Graduate Students:
Shawn Miller [1]
Kenneth Fritzsche [2]
Institutions
CENSSIS
[1] Northeastern University
[2] Rensselaer Polytechnic Institute
Publications
Rapid Automated Tracing and Feature Extraction from Retinal Fundus Images
Using Direct Exploratory Algorithms
A.Can, H. Shen, J. N. Turner, H. L. Tanenbaum, B. Roysam
IEEE Transactions on Information Technology in Biomedicine, Vol 3, No 2, June 1999
Poster
Reconfigurable Hardware
In this project, we implement hardware sections of the design on reconfigurable computing
engines from
Annapolis Microsystems.
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