Visual discrimination model for digital mammography

Jeffrey P. Johnson, Jeffrey Lubin, Elizabeth A Krupinski, Heidi A. Peterson, Hans Roehrig, Andrew Baysinger

Research output: Chapter in Book/Report/Conference proceedingChapter

20 Citations (Scopus)

Abstract

Numerous studies have been conducted to determine experimentally the effects of image processing and display parameters on the diagnostic performance of radiologists. Comprehensive optimization of imaging systems for digital mammography based solely on measurements of reader performance is impractical, however, due to the large number of interdependent variables to be tested. A reliable, efficient alternative is needed to improve the evaluation and optimization of new imaging technologies. The Sarnoff JNDmetrixTM Visual Discrimination Model (VDM) is a computational, just-noticeable difference model of human vision that has been applied successfully to predict performance in various nonmedical detection and rating tasks. To test the applicability of the VDM to specific detection tasks in digital mammography, two observer performance studies were conducted. In the first study, effects of display tone scale and peak luminance on the detectability of microcalcifications were evaluated. The VDM successfully predicted improvements in reader performance for perceptually linearized tone scales and higher display luminances. In the second study, the detectability of JPEG and wavelet compression artifacts was evaluated, and performance ratings were again found to be highly correlated with VDM predictions. These results suggest that the VDM would be useful in the assessment and optimization of new imaging and compression technologies for digital mammography.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherSociety of Photo-Optical Instrumentation Engineers
Pages253-263
Number of pages11
Volume3663
StatePublished - 1999
Externally publishedYes
EventProceedings of the 1999 Medical Imaging - Image Perception and Performance - San Diego, CA, USA
Duration: Feb 24 1999Feb 25 1999

Other

OtherProceedings of the 1999 Medical Imaging - Image Perception and Performance
CitySan Diego, CA, USA
Period2/24/992/25/99

Fingerprint

visual discrimination
Mammography
Display devices
ratings
readers
luminance
optimization
Luminance
Imaging techniques
Imaging systems
image processing
artifacts
Image processing
evaluation
predictions

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics

Cite this

Johnson, J. P., Lubin, J., Krupinski, E. A., Peterson, H. A., Roehrig, H., & Baysinger, A. (1999). Visual discrimination model for digital mammography. In Proceedings of SPIE - The International Society for Optical Engineering (Vol. 3663, pp. 253-263). Society of Photo-Optical Instrumentation Engineers.

Visual discrimination model for digital mammography. / Johnson, Jeffrey P.; Lubin, Jeffrey; Krupinski, Elizabeth A; Peterson, Heidi A.; Roehrig, Hans; Baysinger, Andrew.

Proceedings of SPIE - The International Society for Optical Engineering. Vol. 3663 Society of Photo-Optical Instrumentation Engineers, 1999. p. 253-263.

Research output: Chapter in Book/Report/Conference proceedingChapter

Johnson, JP, Lubin, J, Krupinski, EA, Peterson, HA, Roehrig, H & Baysinger, A 1999, Visual discrimination model for digital mammography. in Proceedings of SPIE - The International Society for Optical Engineering. vol. 3663, Society of Photo-Optical Instrumentation Engineers, pp. 253-263, Proceedings of the 1999 Medical Imaging - Image Perception and Performance, San Diego, CA, USA, 2/24/99.
Johnson JP, Lubin J, Krupinski EA, Peterson HA, Roehrig H, Baysinger A. Visual discrimination model for digital mammography. In Proceedings of SPIE - The International Society for Optical Engineering. Vol. 3663. Society of Photo-Optical Instrumentation Engineers. 1999. p. 253-263
Johnson, Jeffrey P. ; Lubin, Jeffrey ; Krupinski, Elizabeth A ; Peterson, Heidi A. ; Roehrig, Hans ; Baysinger, Andrew. / Visual discrimination model for digital mammography. Proceedings of SPIE - The International Society for Optical Engineering. Vol. 3663 Society of Photo-Optical Instrumentation Engineers, 1999. pp. 253-263
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