Automated detection of blood vessels using dynamic programming

Authors:
Peter J. Yim;Mark Kayton;Walter Miller;Steven Libutti;Peter L. Choyke
Affiliations:
Department of Radiology MEB 404, Robert Wood Johnson Medical School, 1 Robert Wood Johnson Place #357, New Brunswick, NJ;Department of Radiology MEB 404, Robert Wood Johnson Medical School, 1 Robert Wood Johnson Place #357, New Brunswick, NJ;Department of Radiology MEB 404, Robert Wood Johnson Medical School, 1 Robert Wood Johnson Place #357, New Brunswick, NJ;Department of Radiology MEB 404, Robert Wood Johnson Medical School, 1 Robert Wood Johnson Place #357, New Brunswick, NJ;Department of Radiology MEB 404, Robert Wood Johnson Medical School, 1 Robert Wood Johnson Place #357, New Brunswick, NJ
Venue:
Pattern Recognition Letters
Year:
2003

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Abstract

An essential step in the characterization of angiography is the detection of the blood vessels. We propose an algorithm for detection of vessels in two-dimensional angiography from an acyclic graph that represents optimal paths within the image.