Share Email Print
cover

Proceedings Paper

Visual discrimination model for digital mammography
Author(s): Jeffrey P. Johnson; Jeffrey Lubin; Elizabeth A. Krupinski; Heidi A. Peterson; Hans Roehrig; Andrew Baysinger
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 24 May 1999
PDF: 11 pages
Proc. SPIE 3663, Medical Imaging 1999: Image Perception and Performance, (24 May 1999); doi: 10.1117/12.349650
Show Author Affiliations
Jeffrey P. Johnson, Sarnoff Corp. (United States)
Jeffrey Lubin, Sarnoff Corp. (United States)
Elizabeth A. Krupinski, Health Sciences Ctr./Univ. of Arizona (United States)
Heidi A. Peterson, Sarnoff Corp. (United States)
Hans Roehrig, Health Sciences Ctr./Univ. of Arizona (United States)
Andrew Baysinger, Health Sciences Ctr./Univ. of Arizona (United States)


Published in SPIE Proceedings Vol. 3663:
Medical Imaging 1999: Image Perception and Performance
Elizabeth A. Krupinski, Editor(s)

© SPIE. Terms of Use
Back to Top