Share Email Print

Proceedings Paper

Volumetric detection tasks with varying complexity: human observer performance
Author(s): Ljiljana Platiša; Asli Kumcu; Milan Platiša; Ewout Vansteenkiste; Karel Deblaere; Aldo Badano; Wilfried Philips
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

This study explores detection performance trends of human observers with respect to two parameters: task complexity determined by the frequency content of background and signal, and image viewing mode: singleslice (ss) versus multi-slice (ms) stack-browsing image presentation. The images are 3D correlated Gaussian noise with a 3D Gaussian signal centered in the image volume. To vary task complexity, we consider three different noise kernels while keeping the signal spread constant across all images. In ss mode, only the central slice of the volume is presented to the observer, while in ms mode all slices are available. All human readings are conducted in a controlled viewing environment on a 5MP digital mammography medical display. Overall, in line with the literature, we find that human performance increases in ms relative to ss image presentation mode. Furthermore, our experiments indicate that the extent of difference between ms and ss performance is influenced by the properties of image data (level of task complexity): the difference in performance increases (from ΔAUC= 0.14 to ΔAUC= 0.30) as the difference in the frequency content of the signal and the background increases. In other words, the benefit of having additional slices available in ms mode is larger for lower-complexity tasks. Future studies shall focus on comparing the results of the present study to the existing model observers for volumetric images, ultimately aiming to design an anthropomorphic model observer for volumetric detection tasks.

Paper Details

Date Published: 28 February 2012
PDF: 12 pages
Proc. SPIE 8318, Medical Imaging 2012: Image Perception, Observer Performance, and Technology Assessment, 83180S (28 February 2012); doi: 10.1117/12.911558
Show Author Affiliations
Ljiljana Platiša, Univ. Gent (Belgium)
Asli Kumcu, Univ. Gent (Belgium)
Milan Platiša, TASS N.V. (Belgium)
Ewout Vansteenkiste, Univ. Gent (Belgium)
Karel Deblaere, Gent Univ. Hospital (Belgium)
Aldo Badano, U.S. Food and Drug Administration (United States)
Wilfried Philips, Univ. Gent (Belgium)

Published in SPIE Proceedings Vol. 8318:
Medical Imaging 2012: Image Perception, Observer Performance, and Technology Assessment
Craig K. Abbey; Claudia R. Mello-Thoms, Editor(s)

© SPIE. Terms of Use
Back to Top