Automated detection of blood vessels using dynamic programming

Peter J. Yim, Mark Kayton, Walter Miller, Steven Libutti, Peter L. Choyke

Research output: Contribution to journalArticle

4 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)2471-2478
Number of pages8
JournalPattern Recognition Letters
Volume24
Issue number14
DOIs
StatePublished - Oct 2003

Keywords

  • Angiography
  • Detection
  • Graph representation

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

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  • Cite this

    Yim, P. J., Kayton, M., Miller, W., Libutti, S., & Choyke, P. L. (2003). Automated detection of blood vessels using dynamic programming. Pattern Recognition Letters, 24(14), 2471-2478. https://doi.org/10.1016/S0167-8655(03)00092-8