Accurate detection of coronary arteries with the continuous wavelet transform

A. Munteanu, J. Cornelis, P. De Muynck, A. Bezerianos, P. Cristea

Research output: Contribution to journalConference articlepeer-review

Abstract

We propose a multi-scale detection scheme of the vessels borders by means of the continuous wavelet transform. The Canny's performance parameters are derived for Mallat's wavelet based edge detection operator. We take the scale dependent behaviour of these parameters into account to design an algorithm that optimally combines the multiscale information. Evaluation of the algorithm accuracy is obtained on 4 vessel phantoms of different diameters. We compare the computer determined diameters to the actual diameters; the correlation coefficient is in the range 0.93-0.99 for different types of wavelets, which proves the ability of the method to accurately detect edges in the presence of noise.

Original languageEnglish (US)
Pages (from-to)601-604
Number of pages4
JournalComputers in cardiology
StatePublished - Dec 1 1997
EventProceedings of the 1997 24th Annual Meeting on Computers in Cardiology - Lund, Sweden
Duration: Sep 7 1997Sep 10 1997

ASJC Scopus subject areas

  • Computer Science Applications
  • Cardiology and Cardiovascular Medicine

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