Human linear template with mammographic backgrounds estimated with a genetic algorithm
JOSA A, Vol. 24, Issue 12, pp. B1-B12 (2007)
http://dx.doi.org/10.1364/JOSAA.24.0000B1
Enhanced HTML
Acrobat PDF (658 KB)
Abstract
We estimated human observer linear templates underlying the detection of a realistic, spherical mass signal with mammographic backgrounds. Five trained naïve observers participated in two-alternative forced-choice (2-AFC) detection experiments with the signal superimposed on synthetic, clustered lumpy backgrounds (CLBs) in one condition and on nonstationary real mammographic backgrounds in another. Human observer linear templates were estimated using a genetic algorithm. A variety of common model observer templates were computed, and their shapes and associated performances were compared with those of the human observer. The estimated linear templates are not significantly different for stationary CLBs and real mammographic backgrounds. The estimated performance of the linear template compared with that of the human observers is within 5% in terms of percent correct (Pc) for the 2-AFC task. Channelized Hotelling models can fit human performance, but the templates differ considerably from the human linear template. Due to different local statistics, detection efficiency is significantly higher on nonstationary real backgrounds than on globally stationary synthetic CLBs. This finding emphasizes that nonstationary backgrounds need to be described by their local statistics.
© 2007 Optical Society of America
OCIS Codes
(100.2000) Image processing : Digital image processing
(110.3000) Imaging systems : Image quality assessment
(170.3830) Medical optics and biotechnology : Mammography
(330.1880) Vision, color, and visual optics : Detection
(330.4060) Vision, color, and visual optics : Vision modeling
(330.5510) Vision, color, and visual optics : Psychophysics
History
Original Manuscript: May 1, 2007
Manuscript Accepted: June 29, 2007
Published: September 21, 2007
Virtual Issues
Vol. 3, Iss. 1 Virtual Journal for Biomedical Optics
Citation
Cyril Castella, Craig K. Abbey, Miguel P. Eckstein, Francis R. Verdun, Karen Kinkel, and François O. Bochud, "Human linear template with mammographic backgrounds estimated with a genetic algorithm," J. Opt. Soc. Am. A 24, B1-B12 (2007)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-24-12-B1
You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Log in to access OSA Member Subscription
You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Log in to access OSA Member Subscription
You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Log in to access OSA Member Subscription
You do not have subscription access to this journal. Article level metrics are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Log in to access OSA Member Subscription





OSA is a member of 