Adaptation and visual search in mammographic images

Elysse Kompaniez-Dunigan, Craig K. Abbey, John M Boone, Michael A. Webster

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

Radiologists face the visually challenging task of detecting suspicious features within the complex and noisy backgrounds characteristic of medical images. We used a search task to examine whether the salience of target features in x-ray mammograms could be enhanced by prior adaptation to the spatial structure of the images. The observers were not radiologists, and thus had no diagnostic training with the images. The stimuli were randomly selected sections from normal mammograms previously classified with BIRADS Density scores of “fatty” versus “dense,” corresponding to differences in the relative quantities of fat versus fibroglandular tissue. These categories reflect conspicuous differences in visual texture, with dense tissue being more likely to obscure lesion detection. The targets were simulated masses corresponding to bright Gaussian spots, superimposed by adding the luminance to the background. A single target was randomly added to each image, with contrast varied over five levels so that they varied from difficult to easy to detect. Reaction times were measured for detecting the target location, before or after adapting to a gray field or to random sequences of a different set of dense or fatty images. Observers were faster at detecting the targets in either dense or fatty images after adapting to the specific background type (dense or fatty) that they were searching within. Thus, the adaptation led to a facilitation of search performance that was selective for the background texture. Our results are consistent with the hypothesis that adaptation allows observers to more effectively suppress the specific structure of the background, thereby heightening visual salience and search efficiency.

Original languageEnglish (US)
Pages (from-to)1081-1087
Number of pages7
JournalAttention, Perception, and Psychophysics
Volume77
Issue number4
DOIs
StatePublished - May 1 2015

Fingerprint

Fats
X-Rays
Radiologists
Visual Search
diagnostic
stimulus
efficiency
Observer
performance
Texture
Heightening
Fat
Reaction Time
Stimulus
Lesion
Diagnostics
Facilitation
Afterimage
time

Keywords

  • Adaptation
  • Aftereffects
  • Medical image perception
  • Visual salience
  • Visual search

ASJC Scopus subject areas

  • Sensory Systems
  • Experimental and Cognitive Psychology
  • Language and Linguistics
  • Linguistics and Language

Cite this

Adaptation and visual search in mammographic images. / Kompaniez-Dunigan, Elysse; Abbey, Craig K.; Boone, John M; Webster, Michael A.

In: Attention, Perception, and Psychophysics, Vol. 77, No. 4, 01.05.2015, p. 1081-1087.

Research output: Contribution to journalArticle

Kompaniez-Dunigan, Elysse ; Abbey, Craig K. ; Boone, John M ; Webster, Michael A. / Adaptation and visual search in mammographic images. In: Attention, Perception, and Psychophysics. 2015 ; Vol. 77, No. 4. pp. 1081-1087.
@article{76b1e2df44614d63b12923eb8b9b1d31,
title = "Adaptation and visual search in mammographic images",
abstract = "Radiologists face the visually challenging task of detecting suspicious features within the complex and noisy backgrounds characteristic of medical images. We used a search task to examine whether the salience of target features in x-ray mammograms could be enhanced by prior adaptation to the spatial structure of the images. The observers were not radiologists, and thus had no diagnostic training with the images. The stimuli were randomly selected sections from normal mammograms previously classified with BIRADS Density scores of “fatty” versus “dense,” corresponding to differences in the relative quantities of fat versus fibroglandular tissue. These categories reflect conspicuous differences in visual texture, with dense tissue being more likely to obscure lesion detection. The targets were simulated masses corresponding to bright Gaussian spots, superimposed by adding the luminance to the background. A single target was randomly added to each image, with contrast varied over five levels so that they varied from difficult to easy to detect. Reaction times were measured for detecting the target location, before or after adapting to a gray field or to random sequences of a different set of dense or fatty images. Observers were faster at detecting the targets in either dense or fatty images after adapting to the specific background type (dense or fatty) that they were searching within. Thus, the adaptation led to a facilitation of search performance that was selective for the background texture. Our results are consistent with the hypothesis that adaptation allows observers to more effectively suppress the specific structure of the background, thereby heightening visual salience and search efficiency.",
keywords = "Adaptation, Aftereffects, Medical image perception, Visual salience, Visual search",
author = "Elysse Kompaniez-Dunigan and Abbey, {Craig K.} and Boone, {John M} and Webster, {Michael A.}",
year = "2015",
month = "5",
day = "1",
doi = "10.3758/s13414-015-0841-5",
language = "English (US)",
volume = "77",
pages = "1081--1087",
journal = "Attention, Perception, and Psychophysics",
issn = "1943-3921",
publisher = "Springer New York",
number = "4",

}

TY - JOUR

T1 - Adaptation and visual search in mammographic images

AU - Kompaniez-Dunigan, Elysse

AU - Abbey, Craig K.

AU - Boone, John M

AU - Webster, Michael A.

PY - 2015/5/1

Y1 - 2015/5/1

N2 - Radiologists face the visually challenging task of detecting suspicious features within the complex and noisy backgrounds characteristic of medical images. We used a search task to examine whether the salience of target features in x-ray mammograms could be enhanced by prior adaptation to the spatial structure of the images. The observers were not radiologists, and thus had no diagnostic training with the images. The stimuli were randomly selected sections from normal mammograms previously classified with BIRADS Density scores of “fatty” versus “dense,” corresponding to differences in the relative quantities of fat versus fibroglandular tissue. These categories reflect conspicuous differences in visual texture, with dense tissue being more likely to obscure lesion detection. The targets were simulated masses corresponding to bright Gaussian spots, superimposed by adding the luminance to the background. A single target was randomly added to each image, with contrast varied over five levels so that they varied from difficult to easy to detect. Reaction times were measured for detecting the target location, before or after adapting to a gray field or to random sequences of a different set of dense or fatty images. Observers were faster at detecting the targets in either dense or fatty images after adapting to the specific background type (dense or fatty) that they were searching within. Thus, the adaptation led to a facilitation of search performance that was selective for the background texture. Our results are consistent with the hypothesis that adaptation allows observers to more effectively suppress the specific structure of the background, thereby heightening visual salience and search efficiency.

AB - Radiologists face the visually challenging task of detecting suspicious features within the complex and noisy backgrounds characteristic of medical images. We used a search task to examine whether the salience of target features in x-ray mammograms could be enhanced by prior adaptation to the spatial structure of the images. The observers were not radiologists, and thus had no diagnostic training with the images. The stimuli were randomly selected sections from normal mammograms previously classified with BIRADS Density scores of “fatty” versus “dense,” corresponding to differences in the relative quantities of fat versus fibroglandular tissue. These categories reflect conspicuous differences in visual texture, with dense tissue being more likely to obscure lesion detection. The targets were simulated masses corresponding to bright Gaussian spots, superimposed by adding the luminance to the background. A single target was randomly added to each image, with contrast varied over five levels so that they varied from difficult to easy to detect. Reaction times were measured for detecting the target location, before or after adapting to a gray field or to random sequences of a different set of dense or fatty images. Observers were faster at detecting the targets in either dense or fatty images after adapting to the specific background type (dense or fatty) that they were searching within. Thus, the adaptation led to a facilitation of search performance that was selective for the background texture. Our results are consistent with the hypothesis that adaptation allows observers to more effectively suppress the specific structure of the background, thereby heightening visual salience and search efficiency.

KW - Adaptation

KW - Aftereffects

KW - Medical image perception

KW - Visual salience

KW - Visual search

UR - http://www.scopus.com/inward/record.url?scp=84939935545&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84939935545&partnerID=8YFLogxK

U2 - 10.3758/s13414-015-0841-5

DO - 10.3758/s13414-015-0841-5

M3 - Article

C2 - 25720760

AN - SCOPUS:84939935545

VL - 77

SP - 1081

EP - 1087

JO - Attention, Perception, and Psychophysics

JF - Attention, Perception, and Psychophysics

SN - 1943-3921

IS - 4

ER -