Fig. 2.

The scatter plots of (a) the image noise versus image sharpness and (b) the image sharpness versus the AUC of trained classifiers for all reconstructions that were considered in this study. To compute AUC values, we trained and tested linear discriminant analysis (LDA) classifiers using the quantitative image features extracted from the segmented breast lesions, and then conducted ROC analysis. Section 2.3 explains the details of the ROC analysis on the trained LDA classifiers. The four reconstructions that were selected for the reader study were highlighted with the large markers.