Skip to main content

Breast mass detection under increased ambient lighting

Publication ,  Journal Article
Pollard, BJ; Chawla, AS; Hashimoto, N; Samei, E
Published in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
September 9, 2008

Under typical dark conditions found in mammography reading rooms, a reader's pupils will contract and dilate as the visual focus moves between the high luminance display and the darker background wall, potentially resulting in visual fatigue and degraded diagnostic performance. A controlled increase of ambient lighting can, however, minimize this luminance discrepancy, potentially reducing pupillary action while improving reader comfort and detection ability. A psychophysical study was conducted to determine the effect of a controlled ambient lighting increase on observer detection of subtle masses within mammograms viewed on a DICOM-calibrated medical-grade LCD. Four mammographers read 86 mammograms (43 normal and 43 with cancerous masses) under a dark room condition (1 lux) and an elevated room illuminance level (50 lux). Results show generally constant or decreased average selection times and decreased average observer performance under elevated illuminance. Differences, however, were not statistically significant, and of the same magnitude as interobserver variability. © 2008 Springer-Verlag Berlin Heidelberg.

Duke Scholars

Published In

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

DOI

EISSN

1611-3349

ISSN

0302-9743

Publication Date

September 9, 2008

Volume

5116 LNCS

Start / End Page

243 / 248

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 46 Information and computing sciences
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Pollard, B. J., Chawla, A. S., Hashimoto, N., & Samei, E. (2008). Breast mass detection under increased ambient lighting. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5116 LNCS, 243–248. https://doi.org/10.1007/978-3-540-70538-3_34
Pollard, B. J., A. S. Chawla, N. Hashimoto, and E. Samei. “Breast mass detection under increased ambient lighting.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 5116 LNCS (September 9, 2008): 243–48. https://doi.org/10.1007/978-3-540-70538-3_34.
Pollard BJ, Chawla AS, Hashimoto N, Samei E. Breast mass detection under increased ambient lighting. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2008 Sep 9;5116 LNCS:243–8.
Pollard, B. J., et al. “Breast mass detection under increased ambient lighting.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5116 LNCS, Sept. 2008, pp. 243–48. Scopus, doi:10.1007/978-3-540-70538-3_34.
Pollard BJ, Chawla AS, Hashimoto N, Samei E. Breast mass detection under increased ambient lighting. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2008 Sep 9;5116 LNCS:243–248.

Published In

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

DOI

EISSN

1611-3349

ISSN

0302-9743

Publication Date

September 9, 2008

Volume

5116 LNCS

Start / End Page

243 / 248

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 46 Information and computing sciences