<title>New StatPhantom software for assessment of digital image quality</title>

Physical characterization of the quality of medical images does not adequately reflect their clinical quality

“…The observer locates simulators in each region and the results are compared with the real presence of the simulators in the selected locations in each region and the probabilities of true or false answers are calculated. It is assumed that the simulators in each region are correctly observed when the accuracy of their detection (probability of right answer) exceeds 0.9 …”

“…Various other methods have been suggested 4 and, for example, a simple statistical method has been developed which defines diagnostic accuracy, sensitivity and specificity using phantoms within which the position of pathology simulators can be changed manually or with special software. [6][7][8] The method uses phantoms with several regions each containing different numbers of pathology simulators of various sizes and shapes. Within each region, the simulators are identical but spaced randomly.…”

“…It is assumed that the simulators in each region are correctly observed when the accuracy of their detection (probability of right answer) exceeds 0.9. 6,7 This method is visual, rapid, easy and, like other statistical techniques, removes observer's bias from image quality evaluation. However, it also has shortcomings.…”