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  • Title: [Evaluation of Detectability for Patient's Movement in Portable Chest Radiography: Comparison of Visual Detection and Motion Detection Software].
    Author: Ono T, Ichikawa H, Kato T.
    Journal: Nihon Hoshasen Gijutsu Gakkai Zasshi; 2022 Aug 20; 78(8):838-845. PubMed ID: 35793953.
    Abstract:
    PURPOSE: The purpose of this study was to evaluate the detectability of the observers and motion detection software for blurred portable chest radiographies. METHODS: The chest phantom radiographies of various blur sizes were obtained by moving the phantom using 4° slope. The phantom was moved in two directions, vertical (the upper and lower parts of the chest phantom were parallel to rails) and horizontal (the left and right parts of the chest phantom were parallel to rails). Six observers performed receiver operating characteristic (ROC) studies on blurred images. We used the results to compare detectability for vertical and horizontal blur by ROC analysis, and calculated sensitivity and specificity. In addition, the motion detection software was enabled during image acquisition, and the detectability was compared with that of the observers. RESULTS: The average of the area under the ROC curve for the detection of blur in the vertical and horizontal directions for the observers were 0.918 and 0.943, respectively, and no significant difference was found depending on the direction. The motion detection software performed better than the observers in most of the sensitivity and specificity scores. CONCLUSION: The motion detection software could be a useful support tool for motion detection in portable chest radiography.
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