Paper
28 March 2013 Characterization of human observer detection in AFC volumetric detection tasks
Ivan Diaz, Sabine Kobbe-Schmidt, Francis R. Verdun, François O. Bochud
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Abstract
Model observers applied on 3D images should take into account the speed at which the frames are displayed. We performed a series of 3D 2-AFC (Alternative Forced Choice) detection tasks on volumetric stacks of CT lung images. The strategy used by radiologists and naïve observers was assessed using an eye-tracker. In a first set of experiments, the observers were restricted to read the images at fixed speeds of image scrolling and were only shown each alternative once. They were then allowed to scroll through the image stacks at will. The experiment was then modified by adding two more choices (4-AFC), varying the position of the signal in the stack, as well as a lower contrast. The performance of the observers was not depended on the speed, contrast, or experience. However, the naïve observers exhibited a much different pattern of scrolling than the radiologists. We were able to determine a histogram of scrolling speeds in frames per second. The scrolling speed at the moment the signal was detected was estimated at 20 fps. This was higher than that estimated by the radiologists.
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Ivan Diaz, Sabine Kobbe-Schmidt, Francis R. Verdun, and François O. Bochud "Characterization of human observer detection in AFC volumetric detection tasks", Proc. SPIE 8673, Medical Imaging 2013: Image Perception, Observer Performance, and Technology Assessment, 86730A (28 March 2013); https://doi.org/10.1117/12.2007936
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Cited by 1 scholarly publication.
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KEYWORDS
Signal detection

Lung

Eye models

3D modeling

Computed tomography

3D image processing

Visual process modeling

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