Paper 13409-8
Adaptation effects on breast density judgements with blended stimuli
17 February 2025 • 2:40 PM - 3:00 PM PST | Palm 7
Abstract
Several large clinical studies have demonstrated sequential effects on batch reading of screening breast images, typically showing improved performance (lower recall rate, equal detection rate) as a reader progresses through a batch of cases. As an examination of visual adaptation as a potential mechanism for these effects, we evaluate breast density judgements under different adaptation states. We find behavior that is consistent with adaptation in the sense that adaptation to fatty images makes denser images look more dense, and vice-versa.
Presenter
Univ. of California, Santa Barbara (United States)
Craig K. Abbey studies the transfer of diagnostic information to observers in medical imaging using analysis of image statistics as well as visual psychophysics. He received his PhD in applied mathematics from the University of Arizona in 1998 and was a postdoctoral fellow in medical physics at Cedars-Sinai Medical Center and UCLA from 1998 to 2001. He is currently a researcher in the Dept. of Psychological and Brain Sciences at UC Santa Barbara.