Literature DB >> 18215827

Directional low-pass filtering for improved accuracy and reproducibility of stenosis quantification in coronary arteriograms.

Y Sun1, R J Lucariello, S A Chiaramida.   

Abstract

Considers the quantification of percent diameter stenosis in digital coronary arteriograms of low spatial resolution. To improve accuracy and reproducibility an edge-preserving smoothing method, called the directional low-pass filter (DLF), was developed to suppress quantum noise by averaging image intensity in a direction parallel to the vessel border. Accuracy of stenosis quantification was assessed by using stenosis phantoms. The standard error of the estimate (SEE) was 0.76 pixel-length (p) without spatial filtering and further reduced to 0.50 p by DLF; the average deviation as a measure of the regularity of border definition was also reduced by DLF from 1.00 to 0.68 p (n=50, P<0.001). It was shown that the DLF outperformed the conventional moving average filter and median filter. Reproducibility in terms of intraframe variability was assessed by using coronary arteriograms obtained from 10 patients. Intraframe variability of the percent stenosis measurements was reduced from 3.5% to 2.9% by DLF (n=10, P<0.005). An analysis of variance showed, however, that the interframe variability cannot be reduced by any of the spatial filters under investigation. The result of this study has provided a guideline for angiographically based quantification of percent stenosis under limited imaging resolution and suggests a new method for improving accuracy and reproducibility by directional low-pass filtering.

Entities:  

Year:  1995        PMID: 18215827     DOI: 10.1109/42.387705

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


  2 in total

1.  Automated neurite extraction using dynamic programming for high-throughput screening of neuron-based assays.

Authors:  Yong Zhang; Xiaobo Zhou; Alexei Degterev; Marta Lipinski; Donald Adjeroh; Junying Yuan; Stephen T C Wong
Journal:  Neuroimage       Date:  2007-01-27       Impact factor: 6.556

2.  Coronary artery center-line extraction using second order local features.

Authors:  Farsad Zamani Boroujeni; Rahmita Wirza O K Rahmat; Norwati Mustapha; Lilly Suriani Affendey; Oteh Maskon
Journal:  Comput Math Methods Med       Date:  2012-11-22       Impact factor: 2.238

  2 in total

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