Comparison of manual versus automated edge detection for determining degrees of luminal narrowing by quantitative coronary angiography

The known inaccuracies in visual angiographic interpretation¹ have led to the development of many quantitative methods for determining absolute coronary arterial dimensions. The use of automated edge detection reduces the bias inherent in visual interpretation and improves precision and accuracy. The comparability of measurements obtained with automated versus eye-hand edge-detection techniques and different processing algorithms is not known. Accordingly, we compared the 2 most widely used methods: manual (eyehand) edge detection versus the automated edge-detection method.