| Salience measure for assessing scale-based features in mammograms. | |
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MedLine Citation:
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PMID: 18059917 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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This work assesses the usefulness of an objective, task-based image quality measure that is correlated with perceived image quality; the measure uses the most salient features contained within a medical image. Contributions include the development of a perceptually correlated metric that is useful for quantifying the salience of local, low-level visual cues and identifying those spatial frequencies that are most distinct and perhaps most relied upon by radiologists for decision making. A set of 40 mammograms and registered eye position data from nine observers was used to evaluate the salience metric. A parsimonious analysis-of-variance model explained the variance in the salience results. This analysis is generalized to a population of readers and cases. An analysis of salience versus time of first eye fixation shows good correlation with true positive lesions that were found by experienced readers in less than 2 s. |
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Authors:
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Philip Perconti; Murray H Loew |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Journal of the Optical Society of America. A, Optics, image science, and vision Volume: 24 ISSN: 1084-7529 ISO Abbreviation: J Opt Soc Am A Opt Image Sci Vis Publication Date: 2007 Dec |
Date Detail:
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Created Date: 2007-12-06 Completed Date: 2008-04-11 Revised Date: 2008-11-21 |
Medline Journal Info:
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Nlm Unique ID: 9800943 Medline TA: J Opt Soc Am A Opt Image Sci Vis Country: United States |
Other Details:
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Languages: eng Pagination: B81-90 Citation Subset: IM |
Affiliation:
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US Army, Night Vision and Electronic Sensors Directorate, Fort Belvoir, Virginia 22060, USA. philip.perconti@us.army.mil |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Analysis of Variance Cues* Decision Theory Differential Threshold Humans Linear Models Mammography / methods*, statistics & numerical data Observer Variation Reference Values Signal Detection, Psychological* Subtraction Technique Task Performance and Analysis Visual Perception* Weights and Measures* |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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