Paper
28 June 2001 Lesion detection in digital mammograms
Arthur E. Burgess, Francine L. Jacobson, Philip F. Judy
Author Affiliations +
Abstract
Detection of mass lesions in mammograms is essentially limited by image variation due to normal patient structure, which has an average power-spectrum of the form `1/f3'. Image noise plays little role in limiting mass detection. The contrast-detail (CD) diagram for lesion detection in mammographic structure is novel, for both human and model observers. Contrast thresholds increase with increasing signal size for signals larger than about 1 mm, with CD slopes of about 0.3 for humans and 0.4 for model observers. Similar results were obtained in search experiments. The work was done using hybrid images, with of tumor masses (extracted from specimen radiographs) added to digitized mammographic backgrounds. We have been able to explain the results using a number of observer models. These results demonstrate that CD diagrams based on image noise-limited detection with simple phantoms are not useful for evaluation of mass detection in mammograms--so more realistic approaches are necessary in order to model mammographic imaging systems for optimization.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Arthur E. Burgess, Francine L. Jacobson, and Philip F. Judy "Lesion detection in digital mammograms", Proc. SPIE 4320, Medical Imaging 2001: Physics of Medical Imaging, (28 June 2001); https://doi.org/10.1117/12.430878
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CITATIONS
Cited by 13 scholarly publications.
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KEYWORDS
Mammography

Imaging systems

Breast

Tissues

Signal detection

Critical dimension metrology

Interference (communication)

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