Optimizing edge detection in quantitative coronary arteriography: problems and proposals

Optimum geometric edge detection in quantitative coronary arteriography (QCA) is determined by the accuracy of measurements of known phantom diameters. The authors optimized the edge detection for different calibration methods, diameter ranges, accuracy measures and performance strategies. They found, that the optimization process itself is ill-defined, depending on the calibration method used, the included range of small diameters and the accuracy measure. For detectability of diameter changes accuracy-optimized edge detection is inferior to precision-optimum approach. The optimization of both, accuracy and precision can only be achieved with a precision-optimum approach and diameter correction.<
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