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Volumetric detection tasks with varying complexity: human observer performance

Ljiljana Platisa UGent, Asli Kumcu UGent, Milan Platisa, Ewout Vansteenkiste UGent, Karel Deblaere UGent, Aldo Badano and Wilfried Philips UGent (2012) PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE). 8318.
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.
Please use this url to cite or link to this publication:
author
organization
year
type
conference
publication status
published
subject
keyword
LESION-DETECTION, HOTELLING OBSERVER, DORFMAN-BERBAUM-METZ, MODEL OBSERVERS, MULTISLICE, NOISE, Volumetric Images, Stack Browsing, Detection Task, Human observer, Model Observer, Efficiency
in
PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE)
Proc. Soc. Photo-Opt. Instrum. Eng. (SPIE)
editor
Craig K Abbey and Claudia R Mello-Thoms
volume
8318
article_number
83180S
pages
12 pages
publisher
SPIE
place of publication
Bellingham, WA, USA
conference name
Conference on Medical Imaging - Image Perception, Observer Performance, and Technology Assessment
conference location
San Diego, CA, USA
conference start
2012-02-08
conference end
2012-02-09
Web of Science type
Proceedings Paper
Web of Science id
000304905600025
ISSN
0277-786X
ISBN
9780819489678
DOI
10.1117/12.911558
language
English
UGent publication?
yes
classification
P1
copyright statement
I have transferred the copyright for this publication to the publisher
id
1925010
handle
http://hdl.handle.net/1854/LU-1925010
date created
2011-10-12 17:32:26
date last changed
2013-10-22 11:05:47
@inproceedings{1925010,
  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 \ensuremath{\Delta}AUC= 0.14 to \ensuremath{\Delta}AUC= 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.},
  articleno    = {83180S},
  author       = {Platisa, Ljiljana and Kumcu, Asli and Platisa, Milan and Vansteenkiste, Ewout and Deblaere, Karel and Badano, Aldo and Philips, Wilfried},
  booktitle    = {PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE)},
  editor       = {Abbey, Craig  K and Mello-Thoms, Claudia R},
  isbn         = {9780819489678},
  issn         = {0277-786X},
  keyword      = {LESION-DETECTION,HOTELLING OBSERVER,DORFMAN-BERBAUM-METZ,MODEL OBSERVERS,MULTISLICE,NOISE,Volumetric Images,Stack Browsing,Detection Task,Human observer,Model Observer,Efficiency},
  language     = {eng},
  location     = {San Diego, CA, USA},
  pages        = {12},
  publisher    = {SPIE},
  title        = {Volumetric detection tasks with varying complexity: human observer performance},
  url          = {http://dx.doi.org/10.1117/12.911558},
  volume       = {8318},
  year         = {2012},
}

Chicago
Platisa, Ljiljana, Asli Kumcu, Milan Platisa, Ewout Vansteenkiste, Karel Deblaere, Aldo Badano, and Wilfried Philips. 2012. “Volumetric Detection Tasks with Varying Complexity: Human Observer Performance.” In Proceedings of the Society of Photo-optical Instrumentation Engineers (spie), ed. Craig  K Abbey and Claudia R Mello-Thoms. Vol. 8318. Bellingham, WA, USA: SPIE.
APA
Platisa, L., Kumcu, A., Platisa, M., Vansteenkiste, E., Deblaere, K., Badano, A., & Philips, W. (2012). Volumetric detection tasks with varying complexity: human observer performance. In C. K. Abbey & C. R. Mello-Thoms (Eds.), PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE) (Vol. 8318). Presented at the Conference on Medical Imaging - Image Perception, Observer Performance, and Technology Assessment, Bellingham, WA, USA: SPIE.
Vancouver
1.
Platisa L, Kumcu A, Platisa M, Vansteenkiste E, Deblaere K, Badano A, et al. Volumetric detection tasks with varying complexity: human observer performance. In: Abbey CK, Mello-Thoms CR, editors. PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE). Bellingham, WA, USA: SPIE; 2012.
MLA
Platisa, Ljiljana, Asli Kumcu, Milan Platisa, et al. “Volumetric Detection Tasks with Varying Complexity: Human Observer Performance.” Proceedings of the Society of Photo-optical Instrumentation Engineers (spie). Ed. Craig  K Abbey & Claudia R Mello-Thoms. Vol. 8318. Bellingham, WA, USA: SPIE, 2012. Print.