Adaptation and visual search in mammographic images
| Autor: | Michael A. Webster, Elysse Kompaniez-Dunigan, Craig K. Abbey, John M. Boone |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
Dense connective tissue
Adult Linguistics and Language Visual perception Physiological Aftereffects Experimental and Cognitive Psychology Luminance Language and Linguistics Article Contrast Sensitivity Salience (neuroscience) Clinical Research medicine Reaction Time Mammography Psychology Humans Adaptation Visual search Communication medicine.diagnostic_test business.industry Spatial structure Pattern recognition Medical image perception Experimental Psychology Recognition Psychology Visual texture Visual salience Adaptation Physiological Sensory Systems Recognition Visual Perception Biomedical Imaging Cognitive Sciences Artificial intelligence business |
| Zdroj: | Attention, perception & psychophysics, vol 77, iss 4 |
| Popis: | Radiologists face the visually challenging task of detecting suspicious features within the complex and noisy backgrounds characteristic of medical images. We used a search task to examine whether salience of target features in x-ray mammograms could be enhanced by prior adaptation to the spatial structure of the images. Observers were not radiologists and thus had no diagnostic training with the images. Stimuli were randomly selected sections from normal mammograms previously classified with BIRADS Density scores of “fatty” vs. “dense,” corresponding to differences in the relative quantities of fat vs. fibroglandular tissue. These categories reflect conspicuous differences in visual texture, with dense tissue being more likely to obscure lesion detection. Targets were simulated masses corresponding to bright Gaussian spots (sd = .18 deg), superimposed by adding the luminance to the background. A single target was added to each image at random locations, with contrast varied over 5 levels so that they varied from difficult to easy to detect. Reaction times were measured for detecting the target location (left or right side), before or after adapting to a gray field or random sequences of a different set of dense or fatty images. Observers were faster at detecting the targets in either dense or fatty images after adapting to the specific background type (dense or fatty) they were searching within. Thus the adaptation led to a facilitation of search performance that was selective for the background texture. Our results are consistent with the hypothesis that adaptation allows observers to more effectively suppress the specific structure of the background, thereby heightening visual salience and search efficiency. |
| Databáze: | OpenAIRE |
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