Paper
22 May 2003 Detection in power-law noise: spectrum exponents and CD diagram slopes
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Abstract
Normal mammographic image backgrounds have approximately isotropic power spectra of the form, P(f) =K/fe, where f is radial frequency. The values ofthe exponent, 3, range from 1.5 to 3.5 with an average of about 2.8. The ideal observer model predicts that, for signals with certain properties, the log-log contrast-detail (CD) diagram slope, m, is given by: m = O.5(3-2). Previously, we reported results for detection of a model mass (designer nodule) in filtered noise with an exponent of 3. The model and human observer CD slopes were 0.5 and 0.45 respectively. Here, we report preliminary results for human and model observer 2AFC detection of a simple signal in filtered noise with exponents from 1.5 to 3.5. Our results are in good agreement with the prediction of the above equation. We will also describe results of 2AFC detection experiments done using "twin" noise backgrounds with identical noise realizations in the two backgrounds. We could not replicate the results ofJohnson et al. For '1/f3' noise, they found a CD slope of—O.59 while we found +0.37.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Arthur E. Burgess and Philip F. Judy "Detection in power-law noise: spectrum exponents and CD diagram slopes", Proc. SPIE 5034, Medical Imaging 2003: Image Perception, Observer Performance, and Technology Assessment, (22 May 2003); https://doi.org/10.1117/12.479974
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Cited by 5 scholarly publications.
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KEYWORDS
Interference (communication)

Signal detection

Image filtering

Mammography

Electronic filtering

Critical dimension metrology

Medical imaging

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