Literature DB >> 10069050

The Rose model, revisited.

A E Burgess1.   

Abstract

In 1946 and 1948, three very important papers by Albert Rose [J. Soc. Motion Pict. Eng. 47, 273 (1946); J. Opt. Soc. Am. 38, 196 (1948); L. Marton, ed. (Academic, New York, 1948)] were published on the role that photon fluctuations have in setting fundamental performance limits for both human vision and electronic imaging systems. The papers were important because Rose demonstrated that the performance of imaging devices can be evaluated with an absolute scale (quantum efficiency). The analysis of human visual signal detection used in these papers (developed before the formal theory of signal detectability) was based on an approach that has come to be known as the Rose model. In spite of its simplicity, the Rose model is a very good approximation of a Bayesian ideal observer for the carefully and narrowly defined conditions that Rose considered. This simple model can be used effectively for back-of-the-envelope calculations, but it needs to be used with care because of its limited range of validity. One important conclusion arising from Rose's investigations is that pixel signal-to-noise ratio is not a good figure of merit for imaging systems or components, even though it is still occasionally used as such by some researchers. In the present study, (1) aspects of signal detection theory are presented, (2) Rose's model is described and discussed, (3) pixel signal-to-noise ratio is discussed, and (4) progress on modeling human noise-limited performance is summarized. This study is intended to be a tutorial with presentation of the main ideas and provision of references to the (dispersed) technical literature.

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Year:  1999        PMID: 10069050     DOI: 10.1364/josaa.16.000633

Source DB:  PubMed          Journal:  J Opt Soc Am A Opt Image Sci Vis        ISSN: 1084-7529            Impact factor:   2.129


  30 in total

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Journal:  AJNR Am J Neuroradiol       Date:  2010-12-16       Impact factor: 3.825

2.  Computational and human observer image quality evaluation of low dose, knowledge-based CT iterative reconstruction.

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Journal:  Med Phys       Date:  2015-10       Impact factor: 4.071

3.  Optimization of contrast-enhanced spectral mammography depending on clinical indication.

Authors:  Clarisse Dromain; Sandra Canale; Sylvie Saab-Puong; Ann-Katherine Carton; Serge Muller; Eva Maria Fallenberg
Journal:  J Med Imaging (Bellingham)       Date:  2014-12-30

4.  Objective assessment of image quality. IV. Application to adaptive optics.

Authors:  Harrison H Barrett; Kyle J Myers; Nicholas Devaney; Christopher Dainty
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2006-12       Impact factor: 2.129

5.  A practical exposure-equivalent metric for instrumentation noise in x-ray imaging systems.

Authors:  G K Yadava; A T Kuhls-Gilcrist; S Rudin; V K Patel; K R Hoffmann; D R Bednarek
Journal:  Phys Med Biol       Date:  2008-08-22       Impact factor: 3.609

6.  Evaluation of scatter effects on image quality for breast tomosynthesis.

Authors:  Gang Wu; James G Mainprize; John M Boone; Martin J Yaffe
Journal:  Med Phys       Date:  2009-10       Impact factor: 4.071

7.  Development of a randomised contrast detail digital phantom for observer detectability study.

Authors:  Ms Nizam; Kh Ng; Bjj Abdullah
Journal:  Biomed Imaging Interv J       Date:  2006-07-01

8.  Implementation of a channelized Hotelling observer model to assess image quality of x-ray angiography systems.

Authors:  Christopher P Favazza; Kenneth A Fetterly; Nicholas J Hangiandreou; Shuai Leng; Beth A Schueler
Journal:  J Med Imaging (Bellingham)       Date:  2015-03-25

9.  A multiparametric automatic method to monitor long-term reproducibility in digital mammography: results from a regional screening programme.

Authors:  G Gennaro; A Ballaminut; G Contento
Journal:  Eur Radiol       Date:  2017-01-27       Impact factor: 5.315

10.  Automation of pattern recognition analysis of dynamic contrast-enhanced MRI data to characterize intratumoral vascular heterogeneity.

Authors:  SoHyun Han; Radka Stoyanova; Hansol Lee; Sean D Carlin; Jason A Koutcher; HyungJoon Cho; Ellen Ackerstaff
Journal:  Magn Reson Med       Date:  2017-07-20       Impact factor: 4.668

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