Geometric distortion is the inaccurate representation of the size or shape of a structure in the radiographic image. Exaggerated distortion makes radiography unacceptable for diagnosis. A new algorithm that was developed by us provides data on geometric distortion (GD) and ghost artifact-distortion (GAD) of digital breast tomosynthesis (DBT) images. This algorithm is similar to the one developed by the National Coordinating Centre for the Physics of Mammography (NCCPM), with the advantage of allowing the user to select the best-fit region of interest (ROI). The selection ensures that no information about the artifact dispersion contained in a ROI is lost. The aim of this study was to evaluate the dependence of ROI dimension (width and height) on the GD and GDA evaluation in digital breast tomosynthesis images using the new algorithm and to compare the results obtained with the limit values of reference, based on routine quality control tests for breast tomosynthesis. For the analyzes, the images were initially acquired with a 5 mm thick rectangular phantom composed of polymethyl methacrylate (PMMA) containing 1 mm diameter aluminum spheres. The phantom was inserted in the 60 mm thick PMMA phantom, positioned 25 mm away from the compression tray. The height of in-focus plane, the accuracy of positioning in the focus plane, and the appearance of aluminum spheres in the adjacent in-focus planes were analyzed for different ROI dimensions.
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