使用形态学滤波图像的密度测量动脉病变大小

E. Byrom, B. Alexander, T. Frohlich, D. Hueter
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摘要

冠状动脉狭窄的密度测量需要校正非动脉对密度的影响(“背景”)。研究了两种校正方法。首先在两条平行于动脉边缘的像素条中采样背景,并排除附近的动脉。第二种方法在没有额外背景校正的情况下测量形态学滤波图像上的密度。两种方法之间的测量结果一致,可重复性好,相关性好。第一种方法完全校正了背景,第二种方法就不那么校正了。使用一组常规动脉造影,密度计狭窄与目测值相关。两种方法都低估了病变的严重程度。形态学滤波在比较同一病变不同视图上测量的值时变化较小
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Densitometric arterial lesion size using morphologically filtered images
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.<>
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