Satisfaction of Search (SOS), a phenomenon studied by medical imaging and cognitive science researchers, refers to the diminished visual search performance for a target in a search image when a prior target has already been detected. Much has been learned about the SOS effect by studying its pervasiveness across many different types of medical images, including chest radiography, abdominal contrasts, and breast imaging. Much has also been learned about the SOS effect by using simplified search images with targets that take little training to detect (see Adamo et al., 2021 for a review). In this study, we used simplified 2D and segmented-3D search images and investigated whether observers’ search performance differs between these imaging types. Consistent with research in breast imaging, Adamo et al. (2018) found that when novice and experienced observers searched for a single target, they: 1) made fewer false positives, 2) improved their hit rates, and 3) spent longer searching in segmented-3D images compared to 2D images. Here, we replicated this pattern when observers searched for multiple targets. Importantly, we also found that the SOS effect was reduced in segmented-3D images compared to 2D images, suggesting that segmented-3D imaging can improve search performance for multiple targets (abnormalities) within medical imaging.
The goal of this study is to investigate whether reduced breast compression in digital breast tomosynthesis (DBT) exams causes larger internal breast motion that would adversely affect DBT image quality. We designed an experiment to collect real-time breast motion data from patients using ultrasound under three levels of DBT compression (full, medium and half). The ultrasound RF data had a pixel size of 21.5 μm and 150 μm in the axial and lateral directions of the probe, allowing the tracking of very fine movement of internal structure. We have successfully collected data from six human subjects and continue to recruit patients. The data were analyzed using speckle-tracking techniques to extract internal tissue movement trajectories pixel by pixel at multiple locations. Initial data analysis showed that internal breast tissue movement is highly correlated with breathing. Based on the first four patient datasets we have processed, the internal motion magnitudes on average were smaller than 1 mm under the full and reduced compression levels. The statistical distributions of the motion magnitudes among the three compression levels were similar, indicating that the internal breast motion may not necessarily increase even when compression is reduced by half. However, more data will be collected and analyzed to strengthen this study for more solid conclusions.
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