Literature DB >> 20395413

Using a NPWE model observer to assess suitable image quality for a digital mammography quality assurance programme.

P Monnin1, F O Bochud, F R Verdun.   

Abstract

A method of objectively determining imaging performance for a mammography quality assurance programme for digital systems was developed. The method is based on the assessment of the visibility of a spherical microcalcification of 0.2 mm using a quasi-ideal observer model. It requires the assessment of the spatial resolution (modulation transfer function) and the noise power spectra of the systems. The contrast is measured using a 0.2-mm thick Al sheet and Polymethylmethacrylate (PMMA) blocks. The minimal image quality was defined as that giving a target contrast-to-noise ratio (CNR) of 5.4. Several evaluations of this objective method for evaluating image quality in mammography quality assurance programmes have been considered on computed radiography (CR) and digital radiography (DR) mammography systems. The measurement gives a threshold CNR necessary to reach the minimum standard image quality required with regards to the visibility of a 0.2-mm microcalcification. This method may replace the CDMAM image evaluation and simplify the threshold contrast visibility test used in mammography quality.

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Year:  2010        PMID: 20395413     DOI: 10.1093/rpd/ncq010

Source DB:  PubMed          Journal:  Radiat Prot Dosimetry        ISSN: 0144-8420            Impact factor:   0.972


  3 in total

1.  Effect of slice thickness on detectability in breast CT using a prewhitened matched filter and simulated mass lesions.

Authors:  Nathan J Packard; Craig K Abbey; Kai Yang; John M Boone
Journal:  Med Phys       Date:  2012-04       Impact factor: 4.071

2.  European radiographers' challenges from mammography education and clinical practice - an integrative review.

Authors:  Eija Metsälä; Nicole Richli Meystre; José Pires Jorge; Anja Henner; Tiina Kukkes; Cláudia Sá Dos Reis
Journal:  Insights Imaging       Date:  2017-03-16

3.  Visual adaptation and the amplitude spectra of radiological images.

Authors:  Elysse Kompaniez-Dunigan; Craig K Abbey; John M Boone; Michael A Webster
Journal:  Cogn Res Princ Implic       Date:  2018-01-24
  3 in total

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