DIRECTIONAL LOW-PASS FILTERING FOR IMPROVED ACCURACY AND REPRODUCIBILITY OF STENOSIS QUANTIFICATION IN CORONARY ARTERIOGRAMS

Citation
Y. Sun et al., DIRECTIONAL LOW-PASS FILTERING FOR IMPROVED ACCURACY AND REPRODUCIBILITY OF STENOSIS QUANTIFICATION IN CORONARY ARTERIOGRAMS, IEEE transactions on medical imaging, 14(2), 1995, pp. 242-248
Citations number
16
Categorie Soggetti
Engineering, Biomedical","Radiology,Nuclear Medicine & Medical Imaging
ISSN journal
02780062
Volume
14
Issue
2
Year of publication
1995
Pages
242 - 248
Database
ISI
SICI code
0278-0062(1995)14:2<242:DLFFIA>2.0.ZU;2-6
Abstract
This Raper concerns the quantification of percent diameter stenosis in digital coronary arteriograms of low spatial resolution. To improve a ccuracy and reproducibility an edge-preserving smoothing method, calle d the directional low-pass filter (DLF), was developed to suppress qua ntum noise by averaging image intensity in a direction parallel to the vessel border. Accuracy of stenosis quantification was assessed by us ing 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 m oving average filter and median filter. Reproducibility in terms of in traframe variability was assessed by using coronary arteriograms obtai ned from 10 patients, intraframe variability of the percent stenosis m easurements was reduced from 3.5% to 2.9% by DLF (n = 10, P < 0.005). An analysis of variance showed, however, that the interframe variabili ty cannot be reduced by any of the spatial filters under investigation . The result of this study has provided a guideline for angiographical ly based quantification of percent stenosis under limited imaging reso lution and suggests a new method for improving accuracy and reproducib ility by directional low-pass filtering.