“…Test object A Teflon (polytetrafluoroethylene) plate phantom of 1-mm thickness simulating bone 11 was used in this study (Figure 1a). The phantom contained 84 holes that are arranged in 7 rows by 12 columns.…”
Section: Methodsmentioning
confidence: 99%
“…We received all images from Takeshita's study. 11 The images were prepared in that study as follows. All CBCT image series in axial planes were reconstructed onto new planes that were parallel to the surface of the phantom.…”
Section: Image Preparationmentioning
confidence: 99%
“…Relationship among cluster signal-to-noise analysis, Takeshita's method 11 and observer performance: In cluster signal-to-noise analysis, FPRs of observers corresponding to the detected signals (TPRs) were obtained using cluster signal-to-noise curves and observers' data. First, each detected signal from observers' data was converted into the corresponding FPR one by one using cluster signal-to-noise curves as conversion graphs.…”
Section: Number Of Detected Holes Total Number Of True Holesmentioning
confidence: 99%
“…If the mean FPR of all images exceeded the curve, the maximum TPR of that curve was used as the calculated TPR instead of recalculating. In Takeshita's method, 11 cut-off values (ΔG) are determined for each column of holes in the image. These 12 cut-off values were applied in the FindFoci plugin of ImageJ in the same way as for cluster signal-to-noise analysis.…”
Section: Number Of Detected Holes Total Number Of True Holesmentioning
confidence: 99%
“…It may be less time consuming and more reliable if a new method excluding observers can be developed to simulate observer performance. Takeshita et al 11 introduced a new observer-free method of evaluating image quality. However, they used a limited number of threshold gray values.…”
Cluster signal-to-noise analysis can simulate the detection performance of observers and thus replace the observer performance test in the evaluation of image quality. Erroneous decision-making increased with increasing background noise.
“…Test object A Teflon (polytetrafluoroethylene) plate phantom of 1-mm thickness simulating bone 11 was used in this study (Figure 1a). The phantom contained 84 holes that are arranged in 7 rows by 12 columns.…”
Section: Methodsmentioning
confidence: 99%
“…We received all images from Takeshita's study. 11 The images were prepared in that study as follows. All CBCT image series in axial planes were reconstructed onto new planes that were parallel to the surface of the phantom.…”
Section: Image Preparationmentioning
confidence: 99%
“…Relationship among cluster signal-to-noise analysis, Takeshita's method 11 and observer performance: In cluster signal-to-noise analysis, FPRs of observers corresponding to the detected signals (TPRs) were obtained using cluster signal-to-noise curves and observers' data. First, each detected signal from observers' data was converted into the corresponding FPR one by one using cluster signal-to-noise curves as conversion graphs.…”
Section: Number Of Detected Holes Total Number Of True Holesmentioning
confidence: 99%
“…If the mean FPR of all images exceeded the curve, the maximum TPR of that curve was used as the calculated TPR instead of recalculating. In Takeshita's method, 11 cut-off values (ΔG) are determined for each column of holes in the image. These 12 cut-off values were applied in the FindFoci plugin of ImageJ in the same way as for cluster signal-to-noise analysis.…”
Section: Number Of Detected Holes Total Number Of True Holesmentioning
confidence: 99%
“…It may be less time consuming and more reliable if a new method excluding observers can be developed to simulate observer performance. Takeshita et al 11 introduced a new observer-free method of evaluating image quality. However, they used a limited number of threshold gray values.…”
Cluster signal-to-noise analysis can simulate the detection performance of observers and thus replace the observer performance test in the evaluation of image quality. Erroneous decision-making increased with increasing background noise.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.