Integration of spatio-temporal contrast sensitivity with a multi-slice channelized Hotelling observer
Ali N. Avanaki, Kathryn S. Espig, Cedric Marchessoux, Elizabeth A., Krupinski, Predrag R. Bakic, Tom R. L. Kimpe, Andrew D. A. Maidment

TL;DR
This paper integrates a human visual system model into a Hotelling observer for improved detection in digital breast tomosynthesis, analyzing effects of browsing speed, display parameters, and foveal vision on performance.
Contribution
It introduces a generic method to incorporate spatio-temporal contrast sensitivity into multi-slice Hotelling observers, enhancing detection analysis in medical imaging.
Findings
Detection peaks at mid browsing speeds
Performance varies with display luminance and contrast
Considering foveal vision affects detection outcomes
Abstract
Barten's model of spatio-temporal contrast sensitivity function of human visual system is embedded in a multi-slice channelized Hotelling observer. This is done by 3D filtering of the stack of images with the spatio-temporal contrast sensitivity function and feeding the result (i.e., the perceived image stack) to the multi-slice channelized Hotelling observer. The proposed procedure of considering spatio-temporal contrast sensitivity function is generic in the sense that it can be used with observers other than multi-slice channelized Hotelling observer. Detection performance of the new observer in digital breast tomosynthesis is measured in a variety of browsing speeds, at two spatial sampling rates, using computer simulations. Our results show a peak in detection performance in mid browsing speeds. We compare our results to those of a human observer study reported earlier (I. Diaz et…
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