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Proceedings Paper

Accounting for anatomical noise in SPECT with a visual-search human-model observer
Author(s): H. C. Gifford; M. A. King; M. S. Smyczynski
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Paper Abstract

Reliable human-model observers for clinically realistic detection studies are of considerable interest in medical imaging research, but current model observers require frequent revalidation with human data. A visual-search (VS) observer framework may improve reliability by better simulating realistic etection-localization tasks. Under this framework, model observers execute a holistic search to identify tumor-like candidates and then perform careful analysis of these candidates. With emission tomography, anatomical noise in the form of elevated uptake in neighboring tissue often complicates the task. Some scanning model observers simulate the human ability to read around such noise by presubtracting the mean normal background from the test image, but this backgroundknown- exactly (BKE) assumption has several drawbacks. The extent to which the VS observer can overcome these drawbacks was investigated by comparing it against humans and a scanning observer for detection of solitary pulmonary nodules in a simulated SPECT lung study. Our results indicate that the VS observer offers a robust alternative to the scanning observer for modeling humans.

Paper Details

Date Published: 3 March 2011
PDF: 8 pages
Proc. SPIE 7966, Medical Imaging 2011: Image Perception, Observer Performance, and Technology Assessment, 79660H (3 March 2011); doi: 10.1117/12.878830
Show Author Affiliations
H. C. Gifford, Univ. of Massachusetts Medical School (United States)
M. A. King, Univ. of Massachusetts Medical School (United States)
M. S. Smyczynski, Univ. of Massachusetts Medical School (United States)


Published in SPIE Proceedings Vol. 7966:
Medical Imaging 2011: Image Perception, Observer Performance, and Technology Assessment
David J. Manning; Craig K. Abbey, Editor(s)

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