Title :
Densitometric arterial lesion size using morphologically filtered images
Author :
Byrom, E. ; Alexander, B. ; Frohlich, T.G. ; Hueter, D.
Author_Institution :
Evanston Hospital, IL, USA
Abstract :
Densitometric measurement of coronary artery narrowing requires a correction for the nonarterial contributions to the density (“background”). Two correction methods were studied. The first samples background in two strips of pixel parallel to the artery edges, and excludes nearby arteries. The second method measures density on a morphologically filtered image with no additional background correction. Measurements of % narrowing are consistent, reproducible and well correlated between the two methods. The first method corrects completely for background, the second less so. Using a set of routine arteriograms, densitometric % narrowing correlates with the visual estimate. Both methods underestimate lesion severity. Morphological filtering was less variable when comparing values measured on different views of same lesion
Keywords :
angiocardiography; biomedical measurement; densitometry; medical image processing; % narrowing; coronary artery narrowing; densitometric arterial lesion size; density background; lesion severity; medical diagnostic imaging; morphologically filtered images; nonarterial contributions; routine arteriograms; visual estimate; Arteries; Costs; Density measurement; Filters; Hospitals; Lesions; Matrix converters; Pixel; Strips; USA Councils;
Conference_Titel :
Computers in Cardiology 1993, Proceedings.
Conference_Location :
London
Print_ISBN :
0-8186-5470-8
DOI :
10.1109/CIC.1993.378333