Literature DB >> 18230484

A method for a fully automatic definition of coronary arterial edges from cineangiograms.

P H Eichel1, E J Delp, K Koral, A J Buda.   

Abstract

The authors describe a novel algorithm, known as sequential edge linking (SEL), for the automatic definition of coronary arterial edges in cineangiograms. This algorithm is based on sequential tree searching of possible coronary artery boundary locations. Using a coronary artery phantom, the authors compared the results obtained using SEL with hand-traced boundaries. Using a magnification of 2x, the results are generally good, with the average error being 1.7% of the diameter. Actual coronary artery images were also processed and a similar comparison indicated that total areas were comparable but the hand-drawn stenoses were, on average, 7% greater than the unobstructed diameter. Based on these data it is concluded that the SEL algorithm is an accurate method for fully automatic definition of coronary artery dimensions.

Year:  1988        PMID: 18230484     DOI: 10.1109/42.14514

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  3 in total

1.  Adaptive edge localisation approach for quantitative coronary analysis.

Authors:  A S Al-Fahoum
Journal:  Med Biol Eng Comput       Date:  2003-07       Impact factor: 2.602

2.  Artificial neural network: border detection in echocardiography.

Authors:  Eduardo Jyh Herng Wu; Márcio Luiz De Andrade; Denys E Nicolosi; Sérgio C Pontes
Journal:  Med Biol Eng Comput       Date:  2008-07-15       Impact factor: 2.602

3.  Locating blood vessels in retinal images by piece-wise threshold probing of a matched filter response.

Authors:  A Hoover; V Kouznetsova; M Goldbaum
Journal:  Proc AMIA Symp       Date:  1998
  3 in total

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