Literature DB >> 18283065

Application of European protocol in the evaluation of contrast-to-noise ratio and mean glandular dose for two digital mammography systems.

W E Muhogora1, A Devetti, R Padovani, P Msaki, F Bonutti.   

Abstract

The performance of two digital mammography systems, Agfa CR75 and CRMM3 computed radiography (CR) and IMS Giotto MD direct digital radiography (DR), was assessed by applying a method recommended in the European protocol for quality control in mammography screening. The contrast-to-noise ratio (CNR) and mean glandular dose (MGD) values were measured and contrast detail (CD) analysis was performed. The CNRs for system CR were 21.9, 12.9, 9.5, 8.8, 7.4, 5.5 and 4.4 for 2, 3, 4, 4.5, 5, 6 and 7-cm polymenthylmethacrylate (PMMA) thickness, respectively. The respective CNRs for system DR were 10.4, 8.8, 6.3, 7.3, 7.2, 6.4 and 6.54. For the same phantom thickness sequence, the MGDs were 0.7, 1.1, 1.3, 1.6, 1.9, 2.5 and 3.4 mGy for system CR, whereas they were 0.7, 1.2, 1.1, 1.3, 1.8, 3.5 and 3.9 mGy for system DR. The CNR and MGD results satisfactorily correlate with CD analysis results. The MGD values compare well with the values recommended in the European protocol. Despite being simple, CNR and MGD can provide an effective system for performance assessment and constancy checks for related optimisations.

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Year:  2008        PMID: 18283065     DOI: 10.1093/rpd/ncn023

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


  6 in total

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Authors:  R Pauwels; L Seynaeve; J C G Henriques; C de Oliveira-Santos; P C Souza; F H Westphalen; I R F Rubira-Bullen; R F Ribeiro-Rotta; M I B Rockenbach; F Haiter-Neto; P Pittayapat; H Bosmans; R Bogaerts; R Jacobs
Journal:  Dentomaxillofac Radiol       Date:  2015-06-19       Impact factor: 2.419

2.  Influence of image metrics when assessing image quality from a test object in cardiac X-ray systems: Part II.

Authors:  Roberto Sanchez; Eliseo Vano; Carlos Ubeda; Jose M Fernandez; Stephen Balter; Bart Hoornaert
Journal:  J Digit Imaging       Date:  2012-08       Impact factor: 4.056

3.  Influence of image metrics when assessing image quality from a test object in cardiac X-ray systems.

Authors:  Eliseo Vano; Carlos Ubeda; Bernhard Geiger; Luis C Martinez; Stephen Balter
Journal:  J Digit Imaging       Date:  2011-04       Impact factor: 4.056

4.  Initial quality performance results using a phantom to simulate chest computed radiography.

Authors:  Wilbroad Muhogora; Renato Padovani; Peter Msaki
Journal:  J Med Phys       Date:  2011-01

5.  Quantitative evaluation of a single-distance phase-retrieval method applied on in-line phase-contrast images of a mouse lung.

Authors:  Sara Mohammadi; Emanuel Larsson; Frauke Alves; Simeone Dal Monego; Stefania Biffi; Chiara Garrovo; Andrea Lorenzon; Giuliana Tromba; Christian Dullin
Journal:  J Synchrotron Radiat       Date:  2014-05-16       Impact factor: 2.616

6.  Machine learning denoising of high-resolution X-ray nanotomography data.

Authors:  Silja Flenner; Stefan Bruns; Elena Longo; Andrew J Parnell; Kilian E Stockhausen; Martin Müller; Imke Greving
Journal:  J Synchrotron Radiat       Date:  2022-01-01       Impact factor: 2.616

  6 in total

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